diff --git a/docs/api_reference/guide_imports.json b/docs/api_reference/guide_imports.json
index 9aac6fb3f6..9c608a7328 100644
--- a/docs/api_reference/guide_imports.json
+++ b/docs/api_reference/guide_imports.json
@@ -1 +1,3413 @@
-{"HuggingFaceBgeEmbeddings": {"BGE Hugging Face Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/bge_huggingface"}, "XinferenceEmbeddings": {"Xorbits inference (Xinference)": "https://python.langchain.com/docs/integrations/text_embedding/xinference"}, "DeepInfraEmbeddings": {"DeepInfra": "https://python.langchain.com/docs/integrations/text_embedding/deepinfra"}, "HuggingFaceEmbeddings": {"Hugging Face Hub": "https://python.langchain.com/docs/integrations/text_embedding/huggingfacehub", "Sentence Transformers Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/sentence_transformers", "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever", "Hugging Face": "https://python.langchain.com/docs/integrations/providers/huggingface", "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann", "Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy", "Pairwise Embedding Distance ": "https://python.langchain.com/docs/guides/evaluation/comparison/pairwise_embedding_distance", "Embedding Distance": "https://python.langchain.com/docs/guides/evaluation/string/embedding_distance", "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder"}, "GPT4AllEmbeddings": {"GPT4All": "https://python.langchain.com/docs/integrations/text_embedding/gpt4all", "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama", "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"}, "MosaicMLInstructorEmbeddings": {"MosaicML embeddings": "https://python.langchain.com/docs/integrations/text_embedding/mosaicml"}, "OpenAIEmbeddings": {"OpenAI": "https://python.langchain.com/docs/integrations/providers/openai", "AzureOpenAI": "https://python.langchain.com/docs/integrations/text_embedding/azureopenai", "RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase", "Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker", "kNN": "https://python.langchain.com/docs/integrations/retrievers/knn", "DocArray Retriever": "https://python.langchain.com/docs/integrations/retrievers/docarray_retriever", "SVM": "https://python.langchain.com/docs/integrations/retrievers/svm", "Pinecone Hybrid Search": "https://python.langchain.com/docs/integrations/retrievers/pinecone_hybrid_search", "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever", "Azure OpenAI": "https://python.langchain.com/docs/integrations/providers/azure_openai", "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit", "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore", "LanceDB": "https://python.langchain.com/docs/integrations/vectorstores/lancedb", "Weaviate": "https://python.langchain.com/docs/integrations/vectorstores/weaviate", "Xata": "https://python.langchain.com/docs/integrations/vectorstores/xata", "Redis": "https://python.langchain.com/docs/integrations/vectorstores/redis", "PGVector": "https://python.langchain.com/docs/integrations/vectorstores/pgvector", "Rockset": "https://python.langchain.com/docs/integrations/vectorstores/rockset", "Dingo": "https://python.langchain.com/docs/integrations/vectorstores/dingo", "Zilliz": "https://python.langchain.com/docs/integrations/vectorstores/zilliz", "SingleStoreDB": "https://python.langchain.com/docs/integrations/vectorstores/singlestoredb", "Typesense": "https://python.langchain.com/docs/integrations/vectorstores/typesense", "Atlas": "https://python.langchain.com/docs/integrations/vectorstores/atlas", "Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake", "Chroma": "https://python.langchain.com/docs/integrations/vectorstores/chroma", "Alibaba Cloud OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/alibabacloud_opensearch", "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks", "scikit-learn": "https://python.langchain.com/docs/integrations/vectorstores/sklearn", "DocArrayHnswSearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_hnsw", "MyScale": "https://python.langchain.com/docs/integrations/vectorstores/myscale", "ClickHouse Vector Search": "https://python.langchain.com/docs/integrations/vectorstores/clickhouse", "Qdrant": "https://python.langchain.com/docs/integrations/vectorstores/qdrant", "Tigris": "https://python.langchain.com/docs/integrations/vectorstores/tigris", "Supabase (Postgres)": "https://python.langchain.com/docs/integrations/vectorstores/supabase", "OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/opensearch", "Pinecone": "https://python.langchain.com/docs/integrations/vectorstores/pinecone", "Azure Cognitive Search": "https://python.langchain.com/docs/integrations/vectorstores/azuresearch", "Cassandra": "https://python.langchain.com/docs/integrations/vectorstores/cassandra", "USearch": "https://python.langchain.com/docs/integrations/vectorstores/usearch", "Milvus": "https://python.langchain.com/docs/integrations/vectorstores/milvus", "Elasticsearch": "https://python.langchain.com/docs/integrations/vectorstores/elasticsearch", "DocArrayInMemorySearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_in_memory", "pg_embedding": "https://python.langchain.com/docs/integrations/vectorstores/pgembedding", "FAISS": "https://python.langchain.com/docs/integrations/vectorstores/faiss", "AnalyticDB": "https://python.langchain.com/docs/integrations/vectorstores/analyticdb", "Hologres": "https://python.langchain.com/docs/integrations/vectorstores/hologres", "MongoDB Atlas": "https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas", "Meilisearch": "https://python.langchain.com/docs/integrations/vectorstores/meilisearch", "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio", "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic", "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami", "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching", "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook", "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding", "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt", "BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/agents/baby_agi", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent", "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times", "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index", "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA", "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents", "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation", "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare", "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde", "Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake", "Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat", "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval", "Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/agent_simulations/characters", "Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings", "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever", "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research", "Weaviate self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query", "Elasticsearch self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query", "Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query", "Self-querying with Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone", "Self-querying with MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query", "Deep Lake self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query", "Qdrant self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query", "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs", "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore", "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval", "Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr", "Few shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat", "Loading from LangChainHub": "https://python.langchain.com/docs/modules/chains/how_to/from_hub"}, "VertexAIEmbeddings": {"Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/text_embedding/google_vertex_ai_palm"}, "BedrockEmbeddings": {"Bedrock Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/bedrock", "Bedrock": "https://python.langchain.com/docs/integrations/providers/bedrock"}, "LlamaCppEmbeddings": {"Llama-cpp": "https://python.langchain.com/docs/integrations/text_embedding/llamacpp", "Llama.cpp": "https://python.langchain.com/docs/integrations/providers/llamacpp"}, "NLPCloudEmbeddings": {"NLP Cloud": "https://python.langchain.com/docs/integrations/text_embedding/nlp_cloud"}, "SpacyEmbeddings": {"Spacy Embedding": "https://python.langchain.com/docs/integrations/text_embedding/spacy_embedding"}, "HuggingFaceInstructEmbeddings": {"InstructEmbeddings": "https://python.langchain.com/docs/integrations/text_embedding/instruct_embeddings"}, "CohereEmbeddings": {"Cohere": "https://python.langchain.com/docs/integrations/providers/cohere", "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs", "Router": "https://python.langchain.com/docs/modules/chains/foundational/router"}, "EdenAiEmbeddings": {"EDEN AI": "https://python.langchain.com/docs/integrations/text_embedding/edenai"}, "SentenceTransformerEmbeddings": {"Sentence Transformers Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/sentence_transformers", "Chroma": "https://python.langchain.com/docs/integrations/vectorstores/chroma"}, "ClarifaiEmbeddings": {"Clarifai": "https://python.langchain.com/docs/integrations/providers/clarifai"}, "AwaEmbeddings": {"AwaEmbedding": "https://python.langchain.com/docs/integrations/text_embedding/Awa"}, "MiniMaxEmbeddings": {"MiniMax": "https://python.langchain.com/docs/integrations/text_embedding/minimax", "Minimax": "https://python.langchain.com/docs/integrations/providers/minimax"}, "FakeEmbeddings": {"Fake Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/fake", "DocArray Retriever": "https://python.langchain.com/docs/integrations/retrievers/docarray_retriever", "Vectara": "https://python.langchain.com/docs/integrations/vectorstores/vectara", "Tair": "https://python.langchain.com/docs/integrations/vectorstores/tair"}, "ElasticsearchEmbeddings": {"Elasticsearch": "https://python.langchain.com/docs/integrations/text_embedding/elasticsearch"}, "SelfHostedEmbeddings": {"Self Hosted Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/self-hosted"}, "SelfHostedHuggingFaceEmbeddings": {"Self Hosted Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/self-hosted"}, "SelfHostedHuggingFaceInstructEmbeddings": {"Self Hosted Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/self-hosted"}, "EmbaasEmbeddings": {"Embaas": "https://python.langchain.com/docs/integrations/text_embedding/embaas"}, "JinaEmbeddings": {"Jina": "https://python.langchain.com/docs/integrations/providers/jina"}, "AlephAlphaAsymmetricSemanticEmbedding": {"Aleph Alpha": "https://python.langchain.com/docs/integrations/providers/aleph_alpha"}, "AlephAlphaSymmetricSemanticEmbedding": {"Aleph Alpha": "https://python.langchain.com/docs/integrations/providers/aleph_alpha"}, "DashScopeEmbeddings": {"DashScope": "https://python.langchain.com/docs/integrations/text_embedding/dashscope", "DashVector": "https://python.langchain.com/docs/integrations/vectorstores/dashvector"}, "TensorflowHubEmbeddings": {"TensorflowHub": "https://python.langchain.com/docs/integrations/text_embedding/tensorflowhub", "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann"}, "ModelScopeEmbeddings": {"ModelScope": "https://python.langchain.com/docs/integrations/providers/modelscope"}, "SagemakerEndpointEmbeddings": {"SageMaker Endpoint Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/sagemaker-endpoint", "SageMaker Endpoint": "https://python.langchain.com/docs/integrations/providers/sagemaker_endpoint"}, "EmbeddingsContentHandler": {"SageMaker Endpoint Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/sagemaker-endpoint"}, "LocalAIEmbeddings": {"LocalAI": "https://python.langchain.com/docs/integrations/text_embedding/localai"}, "WebBaseLoader": {"RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase", "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore", "WebBaseLoader": "https://python.langchain.com/docs/integrations/document_loaders/web_base", "MergeDocLoader": "https://python.langchain.com/docs/integrations/document_loaders/merge_doc_loader", "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "Summarization": "https://python.langchain.com/docs/use_cases/summarization", "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index", "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa", "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever", "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore"}, "RecursiveCharacterTextSplitter": {"RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase", "Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker", "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio", "Source Code": "https://python.langchain.com/docs/integrations/document_loaders/source_code", "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama", "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding", "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times", "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index", "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA", "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa", "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat", "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever", "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever", "MarkdownHeaderTextSplitter": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/markdown_header_metadata"}, "Chroma": {"RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase", "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever", "Chroma": "https://python.langchain.com/docs/integrations/vectorstores/chroma", "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore", "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks", "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic", "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami", "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama", "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook", "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding", "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index", "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA", "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa", "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation", "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context", "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever", "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research", "Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query", "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder", "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs", "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore", "Few shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat", "Router": "https://python.langchain.com/docs/modules/chains/foundational/router", "Loading from LangChainHub": "https://python.langchain.com/docs/modules/chains/how_to/from_hub"}, "ChatOpenAI": {"RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase", "Wikipedia": "https://python.langchain.com/docs/integrations/retrievers/wikipedia", "Arxiv": "https://python.langchain.com/docs/integrations/retrievers/arxiv", "ChatGPT Plugins": "https://python.langchain.com/docs/integrations/tools/chatgpt_plugins", "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools", "ArXiv API Tool": "https://python.langchain.com/docs/integrations/tools/arxiv", "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search", "Shell Tool": "https://python.langchain.com/docs/integrations/tools/bash", "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history", "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai", "Context": "https://python.langchain.com/docs/integrations/callbacks/context", "Label Studio": "https://python.langchain.com/docs/integrations/callbacks/labelstudio", "PromptLayer": "https://python.langchain.com/docs/integrations/callbacks/promptlayer", "CnosDB": "https://python.langchain.com/docs/integrations/providers/cnosdb", "Log10": "https://python.langchain.com/docs/integrations/providers/log10", "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte", "Arthur": "https://python.langchain.com/docs/integrations/providers/arthur_tracking", "CSV Agent": "https://python.langchain.com/docs/integrations/toolkits/csv", "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit", "Python Agent": "https://python.langchain.com/docs/integrations/toolkits/python", "PowerBI Dataset Agent": "https://python.langchain.com/docs/integrations/toolkits/powerbi", "SQL Database Agent": "https://python.langchain.com/docs/integrations/toolkits/sql_database", "Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github", "Spark SQL Agent": "https://python.langchain.com/docs/integrations/toolkits/spark_sql", "Pandas Dataframe Agent": "https://python.langchain.com/docs/integrations/toolkits/pandas", "OpenAI Functions Metadata Tagger": "https://python.langchain.com/docs/integrations/document_transformers/openai_metadata_tagger", "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio", "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma", "Fallbacks": "https://python.langchain.com/docs/guides/fallbacks", "Debugging": "https://python.langchain.com/docs/guides/debugging", "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough", "Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons", "Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval", "Custom Trajectory Evaluator": "https://python.langchain.com/docs/guides/evaluation/trajectory/custom", "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook", "Interface": "https://python.langchain.com/docs/guides/expression_language/interface", "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "Summarization": "https://python.langchain.com/docs/use_cases/summarization", "Extraction": "https://python.langchain.com/docs/use_cases/extraction", "SQL": "https://python.langchain.com/docs/use_cases/sql", "Tagging": "https://python.langchain.com/docs/use_cases/tagging", "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding", "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt", "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times", "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index", "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA", "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents", "Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval", "Cite sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/qa_citations", "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare", "Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake", "Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat", "Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context", "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/agent_simulations/camel_role_playing", "Neptune Open Cypher QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/neptune_cypher_qa", "NebulaGraphQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_nebula_qa", "KuzuQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_kuzu_qa", "HugeGraph QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_hugegraph_qa", "GraphSparqlQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_sparql_qa", "ArangoDB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_arangodb_qa", "Graph DB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_cypher_qa", "How to use a SmartLLMChain": "https://python.langchain.com/docs/use_cases/more/self_check/smart_llm", "Multi-Agent Simulated Environment: Petting Zoo": "https://python.langchain.com/docs/use_cases/agent_simulations/petting_zoo", "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_bidding", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian", "Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/agent_simulations/characters", "Two-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/two_player_dnd", "Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/multi_player_dnd", "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/agent_simulations/gymnasium", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools", "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research", "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory", "Custom callback handlers": "https://python.langchain.com/docs/modules/callbacks/custom_callbacks", "Async callbacks": "https://python.langchain.com/docs/modules/callbacks/async_callbacks", "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools", "Tools as OpenAI Functions": "https://python.langchain.com/docs/modules/agents/tools/tools_as_openai_functions", "OpenAI Multi Functions Agent": "https://python.langchain.com/docs/modules/agents/agent_types/openai_multi_functions_agent", "Handle parsing errors": "https://python.langchain.com/docs/modules/agents/how_to/handle_parsing_errors", "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter", "Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions", "Custom functions with OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/custom-functions-with-openai-functions-agent", "Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions", "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry", "Pydantic (JSON) parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/pydantic", "Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining", "Connecting to a Feature Store": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/connecting_to_a_feature_store", "Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain", "Using OpenAI functions": "https://python.langchain.com/docs/modules/chains/how_to/openai_functions"}, "RePhraseQueryRetriever": {"RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase"}, "PromptTemplate": {"RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase", "Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier", "Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator", "Streamlit Chat Message History": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history", "Context": "https://python.langchain.com/docs/integrations/callbacks/context", "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla", "Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking", "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking", "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking", "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking", "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff", "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking", "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte", "Vectara Text Generation": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation", "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla", "Predibase": "https://python.langchain.com/docs/integrations/llms/predibase", "Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai", "Fallbacks": "https://python.langchain.com/docs/guides/fallbacks", "Pairwise String Comparison": "https://python.langchain.com/docs/guides/evaluation/comparison/pairwise_string", "Criteria Evaluation": "https://python.langchain.com/docs/guides/evaluation/string/criteria_eval_chain", "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook", "Summarization": "https://python.langchain.com/docs/use_cases/summarization", "Extraction": "https://python.langchain.com/docs/use_cases/extraction", "Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis", "SQL": "https://python.langchain.com/docs/use_cases/sql", "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index", "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation", "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "Bash chain": "https://python.langchain.com/docs/use_cases/more/code_writing/llm_bash", "How to use a SmartLLMChain": "https://python.langchain.com/docs/use_cases/more/self_check/smart_llm", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools", "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research", "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder", "How to create a custom Memory class": "https://python.langchain.com/docs/modules/memory/custom_memory", "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs", "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory", "How to use multiple memory classes in the same chain": "https://python.langchain.com/docs/modules/memory/multiple_memory", "How to customize conversational memory": "https://python.langchain.com/docs/modules/memory/conversational_customization", "Conversation Knowledge Graph Memory": "https://python.langchain.com/docs/modules/memory/types/kg", "Logging to file": "https://python.langchain.com/docs/modules/callbacks/filecallbackhandler", "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry", "Datetime parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/datetime", "Pydantic (JSON) parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/pydantic", "Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr", "Select by n-gram overlap": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/ngram_overlap", "Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining", "Template Formats": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/formats", "Connecting to a Feature Store": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/connecting_to_a_feature_store", "Router": "https://python.langchain.com/docs/modules/chains/foundational/router", "Transformation": "https://python.langchain.com/docs/modules/chains/foundational/transformation", "Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain", "Async API": "https://python.langchain.com/docs/modules/chains/how_to/async_chain"}, "ElasticSearchBM25Retriever": {"ElasticSearch BM25": "https://python.langchain.com/docs/integrations/retrievers/elastic_search_bm25"}, "ZepMemory": {"Zep": "https://python.langchain.com/docs/integrations/retrievers/zep_memorystore", "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory"}, "CombinedMemory": {"Zep": "https://python.langchain.com/docs/integrations/retrievers/zep_memorystore", "How to use multiple memory classes in the same chain": "https://python.langchain.com/docs/modules/memory/multiple_memory"}, "VectorStoreRetrieverMemory": {"Zep": "https://python.langchain.com/docs/integrations/retrievers/zep_memorystore"}, "HumanMessage": {"Zep": "https://python.langchain.com/docs/integrations/retrievers/zep_memorystore", "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory", "AzureML Chat Online Endpoint": "https://python.langchain.com/docs/integrations/chat/azureml_chat_endpoint", "Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic", "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm", "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai", "Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/chat/google_vertex_ai_palm", "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat", "Azure": "https://python.langchain.com/docs/integrations/chat/azure_chat_openai", "ERNIE-Bot Chat": "https://python.langchain.com/docs/integrations/chat/ernie", "PromptLayer ChatOpenAI": "https://python.langchain.com/docs/integrations/chat/promptlayer_chatopenai", "Anyscale": "https://python.langchain.com/docs/integrations/chat/anyscale", "Anthropic Functions": "https://python.langchain.com/docs/integrations/chat/anthropic_functions", "Context": "https://python.langchain.com/docs/integrations/callbacks/context", "Label Studio": "https://python.langchain.com/docs/integrations/callbacks/labelstudio", "PromptLayer": "https://python.langchain.com/docs/integrations/callbacks/promptlayer", "Log10": "https://python.langchain.com/docs/integrations/providers/log10", "MLflow AI Gateway": "https://python.langchain.com/docs/integrations/providers/mlflow_ai_gateway", "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte", "Arthur": "https://python.langchain.com/docs/integrations/providers/arthur_tracking", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/agent_simulations/camel_role_playing", "Multi-Agent Simulated Environment: Petting Zoo": "https://python.langchain.com/docs/use_cases/agent_simulations/petting_zoo", "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_bidding", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian", "Two-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/two_player_dnd", "Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/multi_player_dnd", "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/agent_simulations/gymnasium", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools", "Custom callback handlers": "https://python.langchain.com/docs/modules/callbacks/custom_callbacks", "Async callbacks": "https://python.langchain.com/docs/modules/callbacks/async_callbacks", "Tools as OpenAI Functions": "https://python.langchain.com/docs/modules/agents/tools/tools_as_openai_functions", "Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining", "Using OpenAI functions": "https://python.langchain.com/docs/modules/chains/how_to/openai_functions"}, "AIMessage": {"Zep": "https://python.langchain.com/docs/integrations/retrievers/zep_memorystore", "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory", "Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic", "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm", "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai", "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat", "ERNIE-Bot Chat": "https://python.langchain.com/docs/integrations/chat/ernie", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/agent_simulations/camel_role_playing", "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_bidding", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian", "Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/multi_player_dnd", "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/agent_simulations/gymnasium", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools", "Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining"}, "ZepRetriever": {"Zep": "https://python.langchain.com/docs/integrations/providers/zep", "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory"}, "VespaRetriever": {"Vespa": "https://python.langchain.com/docs/integrations/providers/vespa"}, "AmazonKendraRetriever": {"Amazon Kendra": "https://python.langchain.com/docs/integrations/retrievers/amazon_kendra_retriever"}, "TextLoader": {"Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker", "Elasticsearch": "https://python.langchain.com/docs/integrations/vectorstores/elasticsearch", "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat", "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore", "LanceDB": "https://python.langchain.com/docs/integrations/vectorstores/lancedb", "Weaviate": "https://python.langchain.com/docs/integrations/vectorstores/weaviate", "DashVector": "https://python.langchain.com/docs/integrations/vectorstores/dashvector", "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann", "Xata": "https://python.langchain.com/docs/integrations/vectorstores/xata", "Vectara": "https://python.langchain.com/docs/integrations/vectorstores/vectara", "Redis": "https://python.langchain.com/docs/integrations/vectorstores/redis", "PGVector": "https://python.langchain.com/docs/integrations/vectorstores/pgvector", "Rockset": "https://python.langchain.com/docs/integrations/vectorstores/rockset", "Dingo": "https://python.langchain.com/docs/integrations/vectorstores/dingo", "Zilliz": "https://python.langchain.com/docs/integrations/vectorstores/zilliz", "SingleStoreDB": "https://python.langchain.com/docs/integrations/vectorstores/singlestoredb", "Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy", "Typesense": "https://python.langchain.com/docs/integrations/vectorstores/typesense", "Atlas": "https://python.langchain.com/docs/integrations/vectorstores/atlas", "Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake", "Tair": "https://python.langchain.com/docs/integrations/vectorstores/tair", "Chroma": "https://python.langchain.com/docs/integrations/vectorstores/chroma", "Alibaba Cloud OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/alibabacloud_opensearch", "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks", "Clarifai": "https://python.langchain.com/docs/integrations/vectorstores/clarifai", "scikit-learn": "https://python.langchain.com/docs/integrations/vectorstores/sklearn", "DocArrayHnswSearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_hnsw", "MyScale": "https://python.langchain.com/docs/integrations/vectorstores/myscale", "ClickHouse Vector Search": "https://python.langchain.com/docs/integrations/vectorstores/clickhouse", "Qdrant": "https://python.langchain.com/docs/integrations/vectorstores/qdrant", "Tigris": "https://python.langchain.com/docs/integrations/vectorstores/tigris", "AwaDB": "https://python.langchain.com/docs/integrations/vectorstores/awadb", "Supabase (Postgres)": "https://python.langchain.com/docs/integrations/vectorstores/supabase", "OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/opensearch", "Pinecone": "https://python.langchain.com/docs/integrations/vectorstores/pinecone", "BagelDB": "https://python.langchain.com/docs/integrations/vectorstores/bageldb", "Azure Cognitive Search": "https://python.langchain.com/docs/integrations/vectorstores/azuresearch", "Cassandra": "https://python.langchain.com/docs/integrations/vectorstores/cassandra", "USearch": "https://python.langchain.com/docs/integrations/vectorstores/usearch", "Milvus": "https://python.langchain.com/docs/integrations/vectorstores/milvus", "Marqo": "https://python.langchain.com/docs/integrations/vectorstores/marqo", "DocArrayInMemorySearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_in_memory", "pg_embedding": "https://python.langchain.com/docs/integrations/vectorstores/pgembedding", "FAISS": "https://python.langchain.com/docs/integrations/vectorstores/faiss", "AnalyticDB": "https://python.langchain.com/docs/integrations/vectorstores/analyticdb", "Hologres": "https://python.langchain.com/docs/integrations/vectorstores/hologres", "MongoDB Atlas": "https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas", "Meilisearch": "https://python.langchain.com/docs/integrations/vectorstores/meilisearch", "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents", "Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake", "Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat", "Graph QA": "https://python.langchain.com/docs/use_cases/more/graph/graph_qa", "Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings", "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever", "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore", "Loading from LangChainHub": "https://python.langchain.com/docs/modules/chains/how_to/from_hub"}, "FAISS": {"Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker", "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit", "FAISS": "https://python.langchain.com/docs/integrations/vectorstores/faiss", "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio", "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt", "BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/agents/baby_agi", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent", "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times", "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents", "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval", "Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/agent_simulations/characters", "Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings", "Ensemble Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/ensemble", "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval", "Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr"}, "OpenAI": {"Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker", "Google Serper API": "https://python.langchain.com/docs/integrations/tools/google_serper", "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools", "OpenWeatherMap API": "https://python.langchain.com/docs/integrations/tools/openweathermap", "Search Tools": "https://python.langchain.com/docs/integrations/tools/search_tools", "Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier", "Gradio Tools": "https://python.langchain.com/docs/integrations/tools/gradio_tools", "SceneXplain": "https://python.langchain.com/docs/integrations/tools/sceneXplain", "Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator", "Entity Memory with SQLite storage": "https://python.langchain.com/docs/integrations/memory/entity_memory_with_sqlite", "Streamlit Chat Message History": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history", "Label Studio": "https://python.langchain.com/docs/integrations/callbacks/labelstudio", "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla", "PromptLayer": "https://python.langchain.com/docs/integrations/callbacks/promptlayer", "Streamlit": "https://python.langchain.com/docs/integrations/callbacks/.ipynb_checkpoints/streamlit-checkpoint", "Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking", "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking", "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking", "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking", "OpenAI": "https://python.langchain.com/docs/integrations/llms/openai", "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff", "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking", "Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper", "Helicone": "https://python.langchain.com/docs/integrations/providers/helicone", "Shale Protocol": "https://python.langchain.com/docs/integrations/providers/shaleprotocol", "WhyLabs": "https://python.langchain.com/docs/integrations/providers/whylabs_profiling", "WandB Tracing": "https://python.langchain.com/docs/integrations/providers/wandb_tracing", "ClearML": "https://python.langchain.com/docs/integrations/providers/clearml_tracking", "Ray Serve": "https://python.langchain.com/docs/integrations/providers/ray_serve", "Log, Trace, and Monitor Langchain LLM Calls": "https://python.langchain.com/docs/integrations/providers/portkey/logging_tracing_portkey", "Portkey": "https://python.langchain.com/docs/integrations/providers/portkey/index", "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat", "Vectara Text Generation": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation", "CSV Agent": "https://python.langchain.com/docs/integrations/toolkits/csv", "Xorbits Agent": "https://python.langchain.com/docs/integrations/toolkits/xorbits", "Jira": "https://python.langchain.com/docs/integrations/toolkits/jira", "Spark Dataframe Agent": "https://python.langchain.com/docs/integrations/toolkits/spark", "Python Agent": "https://python.langchain.com/docs/integrations/toolkits/python", "SQL Database Agent": "https://python.langchain.com/docs/integrations/toolkits/sql_database", "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla", "JSON Agent": "https://python.langchain.com/docs/integrations/toolkits/json", "Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github", "Pandas Dataframe Agent": "https://python.langchain.com/docs/integrations/toolkits/pandas", "OpenAPI agents": "https://python.langchain.com/docs/integrations/toolkits/openapi", "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic", "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami", "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching", "Fallbacks": "https://python.langchain.com/docs/guides/fallbacks", "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "Extraction": "https://python.langchain.com/docs/use_cases/extraction", "Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis", "SQL": "https://python.langchain.com/docs/use_cases/sql", "HuggingGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/hugginggpt", "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA", "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation", "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare", "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde", "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context", "Graph QA": "https://python.langchain.com/docs/use_cases/more/graph/graph_qa", "Tree of Thought (ToT) example": "https://python.langchain.com/docs/use_cases/more/graph/tot", "Bash chain": "https://python.langchain.com/docs/use_cases/more/code_writing/llm_bash", "LLM Symbolic Math ": "https://python.langchain.com/docs/use_cases/more/code_writing/llm_symbolic_math", "Summarization checker chain": "https://python.langchain.com/docs/use_cases/more/self_check/llm_summarization_checker", "Self-checking chain": "https://python.langchain.com/docs/use_cases/more/self_check/llm_checker", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools", "Weaviate self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query", "Elasticsearch self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query", "Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query", "Self-querying with Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone", "Self-querying with MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query", "Deep Lake self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query", "Qdrant self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query", "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder", "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs", "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory", "How to use multiple memory classes in the same chain": "https://python.langchain.com/docs/modules/memory/multiple_memory", "How to customize conversational memory": "https://python.langchain.com/docs/modules/memory/conversational_customization", "Conversation Knowledge Graph Memory": "https://python.langchain.com/docs/modules/memory/types/kg", "ConversationTokenBufferMemory": "https://python.langchain.com/docs/modules/memory/types/token_buffer", "ConversationSummaryBufferMemory": "https://python.langchain.com/docs/modules/memory/types/summary_buffer", "Multiple callback handlers": "https://python.langchain.com/docs/modules/callbacks/multiple_callbacks", "Token counting": "https://python.langchain.com/docs/modules/callbacks/token_counting", "Logging to file": "https://python.langchain.com/docs/modules/callbacks/filecallbackhandler", "Multi-Input Tools": "https://python.langchain.com/docs/modules/agents/tools/multi_input_tool", "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools", "Tool Input Schema": "https://python.langchain.com/docs/modules/agents/tools/tool_input_validation", "Human-in-the-loop Tool Validation": "https://python.langchain.com/docs/modules/agents/tools/human_approval", "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore", "Access intermediate steps": "https://python.langchain.com/docs/modules/agents/how_to/intermediate_steps", "Timeouts for agents": "https://python.langchain.com/docs/modules/agents/how_to/max_time_limit", "Streaming final agent output": "https://python.langchain.com/docs/modules/agents/how_to/streaming_stdout_final_only", "Cap the max number of iterations": "https://python.langchain.com/docs/modules/agents/how_to/max_iterations", "Async API": "https://python.langchain.com/docs/modules/chains/how_to/async_chain", "Tracking token usage": "https://python.langchain.com/docs/modules/model_io/models/llms/token_usage_tracking", "Serialization": "https://python.langchain.com/docs/modules/model_io/models/llms/llm_serialization", "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry", "Datetime parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/datetime", "Pydantic (JSON) parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/pydantic", "Router": "https://python.langchain.com/docs/modules/chains/foundational/router", "Transformation": "https://python.langchain.com/docs/modules/chains/foundational/transformation"}, "ContextualCompressionRetriever": {"Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker", "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever"}, "CohereRerank": {"Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker", "Cohere": "https://python.langchain.com/docs/integrations/providers/cohere"}, "RetrievalQA": {"Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker", "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit", "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann", "Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake", "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks", "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio", "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami", "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama", "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index", "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA", "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context", "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore"}, "KNNRetriever": {"kNN": "https://python.langchain.com/docs/integrations/retrievers/knn"}, "WikipediaRetriever": {"Wikipedia": "https://python.langchain.com/docs/integrations/providers/wikipedia"}, "ConversationalRetrievalChain": {"Wikipedia": "https://python.langchain.com/docs/integrations/retrievers/wikipedia", "Arxiv": "https://python.langchain.com/docs/integrations/retrievers/arxiv", "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding", "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index", "Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake", "Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat"}, "MetalRetriever": {"Metal": "https://python.langchain.com/docs/integrations/providers/metal"}, "CSVLoader": {"ChatGPT Plugin": "https://python.langchain.com/docs/integrations/retrievers/chatgpt-plugin", "CSV": "https://python.langchain.com/docs/integrations/document_loaders/csv"}, "Document": {"ChatGPT Plugin": "https://python.langchain.com/docs/integrations/retrievers/chatgpt-plugin", "Weaviate Hybrid Search": "https://python.langchain.com/docs/integrations/retrievers/weaviate-hybrid", "BM25": "https://python.langchain.com/docs/integrations/retrievers/bm25", "TF-IDF": "https://python.langchain.com/docs/integrations/retrievers/tf_idf", "Apify": "https://python.langchain.com/docs/integrations/tools/apify", "Vectara Text Generation": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation", "PGVector": "https://python.langchain.com/docs/integrations/vectorstores/pgvector", "Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy", "pg_embedding": "https://python.langchain.com/docs/integrations/vectorstores/pgembedding", "FAISS": "https://python.langchain.com/docs/integrations/vectorstores/faiss", "Nuclia Understanding API document transformer": "https://python.langchain.com/docs/integrations/document_transformers/nuclia_transformer", "OpenAI Functions Metadata Tagger": "https://python.langchain.com/docs/integrations/document_transformers/openai_metadata_tagger", "Doctran Extract Properties": "https://python.langchain.com/docs/integrations/document_transformers/doctran_extract_properties", "Doctran Interrogate Documents": "https://python.langchain.com/docs/integrations/document_transformers/doctran_interrogate_document", "Doctran Translate Documents": "https://python.langchain.com/docs/integrations/document_transformers/doctran_translate_document", "TensorFlow Datasets": "https://python.langchain.com/docs/integrations/document_loaders/tensorflow_datasets", "Airbyte Salesforce": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_salesforce", "Airbyte CDK": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_cdk", "Airbyte Stripe": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_stripe", "Copy Paste": "https://python.langchain.com/docs/integrations/document_loaders/copypaste", "Airbyte Typeform": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_typeform", "Apify Dataset": "https://python.langchain.com/docs/integrations/document_loaders/apify_dataset", "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami", "Airbyte Hubspot": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_hubspot", "Airbyte Gong": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_gong", "Airbyte Shopify": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_shopify", "Airbyte Zendesk Support": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_zendesk_support", "SageMakerEndpoint": "https://python.langchain.com/docs/integrations/llms/sagemaker", "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching", "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times", "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation", "Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval", "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare", "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval", "Weaviate self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query", "Elasticsearch self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query", "Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query", "Self-querying with Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone", "Self-querying with MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query", "Deep Lake self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query", "Qdrant self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query", "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs", "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval"}, "ChatGPTPluginRetriever": {"ChatGPT Plugin": "https://python.langchain.com/docs/integrations/retrievers/chatgpt-plugin", "OpenAI": "https://python.langchain.com/docs/integrations/providers/openai"}, "GoogleCloudEnterpriseSearchRetriever": {"Google Cloud Enterprise Search": "https://python.langchain.com/docs/integrations/retrievers/google_cloud_enterprise_search"}, "DocArrayRetriever": {"DocArray Retriever": "https://python.langchain.com/docs/integrations/retrievers/docarray_retriever"}, "SVMRetriever": {"SVM": "https://python.langchain.com/docs/integrations/retrievers/svm", "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index"}, "PineconeHybridSearchRetriever": {"Pinecone Hybrid Search": "https://python.langchain.com/docs/integrations/retrievers/pinecone_hybrid_search"}, "PubMedRetriever": {"PubMed": "https://python.langchain.com/docs/integrations/providers/pubmed"}, "WeaviateHybridSearchRetriever": {"Weaviate Hybrid Search": "https://python.langchain.com/docs/integrations/retrievers/weaviate-hybrid"}, "ArxivRetriever": {"Arxiv": "https://python.langchain.com/docs/integrations/providers/arxiv"}, "BM25Retriever": {"BM25": "https://python.langchain.com/docs/integrations/retrievers/bm25", "Ensemble Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/ensemble"}, "AzureCognitiveSearchRetriever": {"Azure Cognitive Search": "https://python.langchain.com/docs/integrations/providers/azure_cognitive_search_"}, "ChaindeskRetriever": {"Chaindesk": "https://python.langchain.com/docs/integrations/providers/chaindesk"}, "MergerRetriever": {"LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever"}, "EmbeddingsRedundantFilter": {"LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever"}, "EmbeddingsClusteringFilter": {"LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever"}, "DocumentCompressorPipeline": {"LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever"}, "LongContextReorder": {"LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever", "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder"}, "TFIDFRetriever": {"TF-IDF": "https://python.langchain.com/docs/integrations/retrievers/tf_idf"}, "load_tools": {"ChatGPT Plugins": "https://python.langchain.com/docs/integrations/tools/chatgpt_plugins", "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools", "AWS Lambda API": "https://python.langchain.com/docs/integrations/tools/awslambda", "Requests": "https://python.langchain.com/docs/integrations/tools/requests", "OpenWeatherMap API": "https://python.langchain.com/docs/integrations/tools/openweathermap", "Search Tools": "https://python.langchain.com/docs/integrations/tools/search_tools", "ArXiv API Tool": "https://python.langchain.com/docs/integrations/tools/arxiv", "GraphQL tool": "https://python.langchain.com/docs/integrations/tools/graphql", "SceneXplain": "https://python.langchain.com/docs/integrations/tools/sceneXplain", "Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator", "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla", "Streamlit": "https://python.langchain.com/docs/integrations/callbacks/.ipynb_checkpoints/streamlit-checkpoint", "SerpAPI": "https://python.langchain.com/docs/integrations/providers/serpapi", "Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking", "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking", "Golden": "https://python.langchain.com/docs/integrations/providers/golden", "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking", "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking", "Wolfram Alpha": "https://python.langchain.com/docs/integrations/providers/wolfram_alpha", "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking", "DataForSEO": "https://python.langchain.com/docs/integrations/providers/dataforseo", "SearxNG Search API": "https://python.langchain.com/docs/integrations/providers/searx", "Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper", "OpenWeatherMap": "https://python.langchain.com/docs/integrations/providers/openweathermap", "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte", "WandB Tracing": "https://python.langchain.com/docs/integrations/providers/wandb_tracing", "ClearML": "https://python.langchain.com/docs/integrations/providers/clearml_tracking", "Google Search": "https://python.langchain.com/docs/integrations/providers/google_search", "Log, Trace, and Monitor Langchain LLM Calls": "https://python.langchain.com/docs/integrations/providers/portkey/logging_tracing_portkey", "Portkey": "https://python.langchain.com/docs/integrations/providers/portkey/index", "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor", "Amazon API Gateway": "https://python.langchain.com/docs/integrations/llms/amazon_api_gateway_example", "Debugging": "https://python.langchain.com/docs/guides/debugging", "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools", "Multiple callback handlers": "https://python.langchain.com/docs/modules/callbacks/multiple_callbacks", "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools", "Human-in-the-loop Tool Validation": "https://python.langchain.com/docs/modules/agents/tools/human_approval", "Access intermediate steps": "https://python.langchain.com/docs/modules/agents/how_to/intermediate_steps", "Timeouts for agents": "https://python.langchain.com/docs/modules/agents/how_to/max_time_limit", "Streaming final agent output": "https://python.langchain.com/docs/modules/agents/how_to/streaming_stdout_final_only", "Cap the max number of iterations": "https://python.langchain.com/docs/modules/agents/how_to/max_iterations", "Async API": "https://python.langchain.com/docs/modules/agents/how_to/async_agent", "Human input Chat Model": "https://python.langchain.com/docs/modules/model_io/models/chat/human_input_chat_model", "Fake LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/fake_llm", "Tracking token usage": "https://python.langchain.com/docs/modules/model_io/models/llms/token_usage_tracking", "Human input LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/human_input_llm"}, "initialize_agent": {"ChatGPT Plugins": "https://python.langchain.com/docs/integrations/tools/chatgpt_plugins", "Google Serper API": "https://python.langchain.com/docs/integrations/tools/google_serper", "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools", "AWS Lambda API": "https://python.langchain.com/docs/integrations/tools/awslambda", "OpenWeatherMap API": "https://python.langchain.com/docs/integrations/tools/openweathermap", "Search Tools": "https://python.langchain.com/docs/integrations/tools/search_tools", "Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier", "ArXiv API Tool": "https://python.langchain.com/docs/integrations/tools/arxiv", "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search", "GraphQL tool": "https://python.langchain.com/docs/integrations/tools/graphql", "Gradio Tools": "https://python.langchain.com/docs/integrations/tools/gradio_tools", "SceneXplain": "https://python.langchain.com/docs/integrations/tools/sceneXplain", "Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator", "Shell Tool": "https://python.langchain.com/docs/integrations/tools/bash", "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory", "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history", "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla", "Streamlit": "https://python.langchain.com/docs/integrations/callbacks/.ipynb_checkpoints/streamlit-checkpoint", "Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking", "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking", "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking", "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking", "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking", "Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper", "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte", "WandB Tracing": "https://python.langchain.com/docs/integrations/providers/wandb_tracing", "ClearML": "https://python.langchain.com/docs/integrations/providers/clearml_tracking", "Log, Trace, and Monitor Langchain LLM Calls": "https://python.langchain.com/docs/integrations/providers/portkey/logging_tracing_portkey", "Portkey": "https://python.langchain.com/docs/integrations/providers/portkey/index", "Jira": "https://python.langchain.com/docs/integrations/toolkits/jira", "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit", "Azure Cognitive Services Toolkit": "https://python.langchain.com/docs/integrations/toolkits/azure_cognitive_services", "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla", "Gmail Toolkit": "https://python.langchain.com/docs/integrations/toolkits/gmail", "Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github", "PlayWright Browser Toolkit": "https://python.langchain.com/docs/integrations/toolkits/playwright", "Office365 Toolkit": "https://python.langchain.com/docs/integrations/toolkits/office365", "MultiOn Toolkit": "https://python.langchain.com/docs/integrations/toolkits/multion", "Amadeus Toolkit": "https://python.langchain.com/docs/integrations/toolkits/amadeus", "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor", "Amazon API Gateway": "https://python.langchain.com/docs/integrations/llms/amazon_api_gateway_example", "Debugging": "https://python.langchain.com/docs/guides/debugging", "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough", "Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons", "Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval", "Multi-modal outputs: Image & Text": "https://python.langchain.com/docs/use_cases/multi_modal/image_agent", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools", "Multiple callback handlers": "https://python.langchain.com/docs/modules/callbacks/multiple_callbacks", "Multi-Input Tools": "https://python.langchain.com/docs/modules/agents/tools/multi_input_tool", "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools", "Tool Input Schema": "https://python.langchain.com/docs/modules/agents/tools/tool_input_validation", "Human-in-the-loop Tool Validation": "https://python.langchain.com/docs/modules/agents/tools/human_approval", "Self ask with search": "https://python.langchain.com/docs/modules/agents/agent_types/self_ask_with_search", "ReAct document store": "https://python.langchain.com/docs/modules/agents/agent_types/react_docstore", "OpenAI Multi Functions Agent": "https://python.langchain.com/docs/modules/agents/agent_types/openai_multi_functions_agent", "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore", "Access intermediate steps": "https://python.langchain.com/docs/modules/agents/how_to/intermediate_steps", "Handle parsing errors": "https://python.langchain.com/docs/modules/agents/how_to/handle_parsing_errors", "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter", "Timeouts for agents": "https://python.langchain.com/docs/modules/agents/how_to/max_time_limit", "Streaming final agent output": "https://python.langchain.com/docs/modules/agents/how_to/streaming_stdout_final_only", "Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions", "Cap the max number of iterations": "https://python.langchain.com/docs/modules/agents/how_to/max_iterations", "Custom functions with OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/custom-functions-with-openai-functions-agent", "Async API": "https://python.langchain.com/docs/modules/agents/how_to/async_agent", "Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions", "Human input Chat Model": "https://python.langchain.com/docs/modules/model_io/models/chat/human_input_chat_model", "Fake LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/fake_llm", "Tracking token usage": "https://python.langchain.com/docs/modules/model_io/models/llms/token_usage_tracking", "Human input LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/human_input_llm"}, "AgentType": {"ChatGPT Plugins": "https://python.langchain.com/docs/integrations/tools/chatgpt_plugins", "Google Serper API": "https://python.langchain.com/docs/integrations/tools/google_serper", "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools", "AWS Lambda API": "https://python.langchain.com/docs/integrations/tools/awslambda", "OpenWeatherMap API": "https://python.langchain.com/docs/integrations/tools/openweathermap", "Search Tools": "https://python.langchain.com/docs/integrations/tools/search_tools", "Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier", "ArXiv API Tool": "https://python.langchain.com/docs/integrations/tools/arxiv", "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search", "GraphQL tool": "https://python.langchain.com/docs/integrations/tools/graphql", "Shell Tool": "https://python.langchain.com/docs/integrations/tools/bash", "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory", "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history", "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla", "Streamlit": "https://python.langchain.com/docs/integrations/callbacks/.ipynb_checkpoints/streamlit-checkpoint", "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking", "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking", "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking", "Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper", "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte", "WandB Tracing": "https://python.langchain.com/docs/integrations/providers/wandb_tracing", "ClearML": "https://python.langchain.com/docs/integrations/providers/clearml_tracking", "Log, Trace, and Monitor Langchain LLM Calls": "https://python.langchain.com/docs/integrations/providers/portkey/logging_tracing_portkey", "Portkey": "https://python.langchain.com/docs/integrations/providers/portkey/index", "CSV Agent": "https://python.langchain.com/docs/integrations/toolkits/csv", "Jira": "https://python.langchain.com/docs/integrations/toolkits/jira", "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit", "Python Agent": "https://python.langchain.com/docs/integrations/toolkits/python", "Azure Cognitive Services Toolkit": "https://python.langchain.com/docs/integrations/toolkits/azure_cognitive_services", "SQL Database Agent": "https://python.langchain.com/docs/integrations/toolkits/sql_database", "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla", "Gmail Toolkit": "https://python.langchain.com/docs/integrations/toolkits/gmail", "Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github", "PlayWright Browser Toolkit": "https://python.langchain.com/docs/integrations/toolkits/playwright", "Office365 Toolkit": "https://python.langchain.com/docs/integrations/toolkits/office365", "Pandas Dataframe Agent": "https://python.langchain.com/docs/integrations/toolkits/pandas", "MultiOn Toolkit": "https://python.langchain.com/docs/integrations/toolkits/multion", "Amadeus Toolkit": "https://python.langchain.com/docs/integrations/toolkits/amadeus", "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor", "Amazon API Gateway": "https://python.langchain.com/docs/integrations/llms/amazon_api_gateway_example", "Debugging": "https://python.langchain.com/docs/guides/debugging", "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough", "Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons", "Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval", "SQL": "https://python.langchain.com/docs/use_cases/sql", "Multi-modal outputs: Image & Text": "https://python.langchain.com/docs/use_cases/multi_modal/image_agent", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools", "Multiple callback handlers": "https://python.langchain.com/docs/modules/callbacks/multiple_callbacks", "Multi-Input Tools": "https://python.langchain.com/docs/modules/agents/tools/multi_input_tool", "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools", "Tool Input Schema": "https://python.langchain.com/docs/modules/agents/tools/tool_input_validation", "Human-in-the-loop Tool Validation": "https://python.langchain.com/docs/modules/agents/tools/human_approval", "Self ask with search": "https://python.langchain.com/docs/modules/agents/agent_types/self_ask_with_search", "ReAct document store": "https://python.langchain.com/docs/modules/agents/agent_types/react_docstore", "OpenAI Multi Functions Agent": "https://python.langchain.com/docs/modules/agents/agent_types/openai_multi_functions_agent", "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore", "Access intermediate steps": "https://python.langchain.com/docs/modules/agents/how_to/intermediate_steps", "Handle parsing errors": "https://python.langchain.com/docs/modules/agents/how_to/handle_parsing_errors", "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter", "Timeouts for agents": "https://python.langchain.com/docs/modules/agents/how_to/max_time_limit", "Streaming final agent output": "https://python.langchain.com/docs/modules/agents/how_to/streaming_stdout_final_only", "Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions", "Cap the max number of iterations": "https://python.langchain.com/docs/modules/agents/how_to/max_iterations", "Custom functions with OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/custom-functions-with-openai-functions-agent", "Async API": "https://python.langchain.com/docs/modules/agents/how_to/async_agent", "Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions", "Human input Chat Model": "https://python.langchain.com/docs/modules/model_io/models/chat/human_input_chat_model", "Fake LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/fake_llm", "Tracking token usage": "https://python.langchain.com/docs/modules/model_io/models/llms/token_usage_tracking", "Human input LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/human_input_llm"}, "AIPluginTool": {"ChatGPT Plugins": "https://python.langchain.com/docs/integrations/tools/chatgpt_plugins"}, "DataForSeoAPIWrapper": {"DataForSeo API Wrapper": "https://python.langchain.com/docs/integrations/tools/dataforseo", "DataForSEO": "https://python.langchain.com/docs/integrations/providers/dataforseo"}, "Tool": {"DataForSeo API Wrapper": "https://python.langchain.com/docs/integrations/tools/dataforseo", "Google Serper API": "https://python.langchain.com/docs/integrations/tools/google_serper", "SerpAPI": "https://python.langchain.com/docs/integrations/tools/serpapi", "Google Search": "https://python.langchain.com/docs/integrations/tools/google_search", "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory", "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history", "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking", "Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper", "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit", "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla", "Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github", "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor", "Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons", "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent", "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools", "Adding Message Memory backed by a database to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db", "How to add Memory to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory", "Multi-Input Tools": "https://python.langchain.com/docs/modules/agents/tools/multi_input_tool", "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools", "Self ask with search": "https://python.langchain.com/docs/modules/agents/agent_types/self_ask_with_search", "ReAct document store": "https://python.langchain.com/docs/modules/agents/agent_types/react_docstore", "OpenAI Multi Functions Agent": "https://python.langchain.com/docs/modules/agents/agent_types/openai_multi_functions_agent", "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore", "Custom MRKL agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent", "Handle parsing errors": "https://python.langchain.com/docs/modules/agents/how_to/handle_parsing_errors", "Shared memory across agents and tools": "https://python.langchain.com/docs/modules/agents/how_to/sharedmemory_for_tools", "Custom multi-action agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_multi_action_agent", "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter", "Timeouts for agents": "https://python.langchain.com/docs/modules/agents/how_to/max_time_limit", "Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions", "Cap the max number of iterations": "https://python.langchain.com/docs/modules/agents/how_to/max_iterations", "Custom agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent", "Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions", "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval"}, "SearxSearchWrapper": {"SearxNG Search API": "https://python.langchain.com/docs/integrations/providers/searx"}, "GoogleSerperAPIWrapper": {"Google Serper API": "https://python.langchain.com/docs/integrations/tools/google_serper", "Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper", "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare"}, "GooglePlacesTool": {"Google Places": "https://python.langchain.com/docs/integrations/tools/google_places"}, "HumanInputRun": {"Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools", "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times"}, "NucliaUnderstandingAPI": {"Nuclia Understanding API tool": "https://python.langchain.com/docs/integrations/tools/nuclia", "Nuclia Understanding API document transformer": "https://python.langchain.com/docs/integrations/document_transformers/nuclia_transformer", "Nuclia Understanding API document loader": "https://python.langchain.com/docs/integrations/document_loaders/nuclia"}, "TwilioAPIWrapper": {"Twilio": "https://python.langchain.com/docs/integrations/tools/twilio"}, "IFTTTWebhook": {"IFTTT WebHooks": "https://python.langchain.com/docs/integrations/tools/ifttt"}, "WikipediaQueryRun": {"Wikipedia": "https://python.langchain.com/docs/integrations/tools/wikipedia"}, "WikipediaAPIWrapper": {"Wikipedia": "https://python.langchain.com/docs/integrations/tools/wikipedia", "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory"}, "AlphaVantageAPIWrapper": {"Alpha Vantage": "https://python.langchain.com/docs/integrations/tools/alpha_vantage"}, "TextRequestsWrapper": {"Requests": "https://python.langchain.com/docs/integrations/tools/requests", "JSON Agent": "https://python.langchain.com/docs/integrations/toolkits/json", "OpenAPI agents": "https://python.langchain.com/docs/integrations/toolkits/openapi", "Tool Input Schema": "https://python.langchain.com/docs/modules/agents/tools/tool_input_validation"}, "OpenWeatherMapAPIWrapper": {"OpenWeatherMap API": "https://python.langchain.com/docs/integrations/tools/openweathermap", "OpenWeatherMap": "https://python.langchain.com/docs/integrations/providers/openweathermap"}, "PubmedQueryRun": {"PubMed Tool": "https://python.langchain.com/docs/integrations/tools/pubmed"}, "YouTubeSearchTool": {"YouTubeSearchTool": "https://python.langchain.com/docs/integrations/tools/youtube"}, "VectorstoreIndexCreator": {"Apify": "https://python.langchain.com/docs/integrations/tools/apify", "HuggingFace dataset": "https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset", "Spreedly": "https://python.langchain.com/docs/integrations/document_loaders/spreedly", "Image captions": "https://python.langchain.com/docs/integrations/document_loaders/image_captions", "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma", "Apify Dataset": "https://python.langchain.com/docs/integrations/document_loaders/apify_dataset", "Iugu": "https://python.langchain.com/docs/integrations/document_loaders/iugu", "Stripe": "https://python.langchain.com/docs/integrations/document_loaders/stripe", "Modern Treasury": "https://python.langchain.com/docs/integrations/document_loaders/modern_treasury", "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index", "Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval"}, "ZapierToolkit": {"Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier"}, "ZapierNLAWrapper": {"Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier"}, "LLMChain": {"Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier", "Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator", "Streamlit Chat Message History": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history", "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla", "Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking", "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking", "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking", "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking", "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff", "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking", "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte", "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat", "Vectara Text Generation": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation", "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla", "JSON Agent": "https://python.langchain.com/docs/integrations/toolkits/json", "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma", "Predibase": "https://python.langchain.com/docs/integrations/llms/predibase", "Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai", "AzureML Online Endpoint": "https://python.langchain.com/docs/integrations/llms/azureml_endpoint_example", "Custom Trajectory Evaluator": "https://python.langchain.com/docs/guides/evaluation/trajectory/custom", "Custom Pairwise Evaluator": "https://python.langchain.com/docs/guides/evaluation/comparison/custom", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "Summarization": "https://python.langchain.com/docs/use_cases/summarization", "Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis", "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation", "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research", "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder", "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory", "Logging to file": "https://python.langchain.com/docs/modules/callbacks/filecallbackhandler", "XML Agent": "https://python.langchain.com/docs/modules/agents/agent_types/xml_agent", "Datetime parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/datetime", "Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining", "Connecting to a Feature Store": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/connecting_to_a_feature_store", "Router": "https://python.langchain.com/docs/modules/chains/foundational/router", "Transformation": "https://python.langchain.com/docs/modules/chains/foundational/transformation", "Async API": "https://python.langchain.com/docs/modules/chains/how_to/async_chain"}, "TransformChain": {"Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier", "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff", "Transformation": "https://python.langchain.com/docs/modules/chains/foundational/transformation"}, "SimpleSequentialChain": {"Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier", "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking", "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff", "Baseten": "https://python.langchain.com/docs/integrations/llms/baseten", "Predibase": "https://python.langchain.com/docs/integrations/llms/predibase", "Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai", "Replicate": "https://python.langchain.com/docs/integrations/llms/replicate", "Transformation": "https://python.langchain.com/docs/modules/chains/foundational/transformation"}, "ZapierNLARunAction": {"Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier"}, "GoldenQueryAPIWrapper": {"Golden Query": "https://python.langchain.com/docs/integrations/tools/golden_query", "Golden": "https://python.langchain.com/docs/integrations/providers/golden"}, "ArxivAPIWrapper": {"ArXiv API Tool": "https://python.langchain.com/docs/integrations/tools/arxiv"}, "tool": {"Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search", "JSONFormer": "https://python.langchain.com/docs/integrations/llms/jsonformer_experimental", "Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval", "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times", "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools", "XML Agent": "https://python.langchain.com/docs/modules/agents/agent_types/xml_agent"}, "OpenAIFunctionsAgent": {"Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search", "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents"}, "SystemMessage": {"Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search", "Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic", "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm", "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai", "Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/chat/google_vertex_ai_palm", "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat", "ERNIE-Bot Chat": "https://python.langchain.com/docs/integrations/chat/ernie", "Anyscale": "https://python.langchain.com/docs/integrations/chat/anyscale", "Context": "https://python.langchain.com/docs/integrations/callbacks/context", "Label Studio": "https://python.langchain.com/docs/integrations/callbacks/labelstudio", "MLflow AI Gateway": "https://python.langchain.com/docs/integrations/providers/mlflow_ai_gateway", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/agent_simulations/camel_role_playing", "Multi-Agent Simulated Environment: Petting Zoo": "https://python.langchain.com/docs/use_cases/agent_simulations/petting_zoo", "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_bidding", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian", "Two-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/two_player_dnd", "Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/multi_player_dnd", "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/agent_simulations/gymnasium", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools", "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory", "Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions", "Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining", "Using OpenAI functions": "https://python.langchain.com/docs/modules/chains/how_to/openai_functions"}, "AgentExecutor": {"Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search", "Jina": "https://python.langchain.com/docs/integrations/providers/jina", "PowerBI Dataset Agent": "https://python.langchain.com/docs/integrations/toolkits/powerbi", "SQL Database Agent": "https://python.langchain.com/docs/integrations/toolkits/sql_database", "JSON Agent": "https://python.langchain.com/docs/integrations/toolkits/json", "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor", "SQL": "https://python.langchain.com/docs/use_cases/sql", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent", "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents", "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval", "Adding Message Memory backed by a database to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db", "How to add Memory to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory", "XML Agent": "https://python.langchain.com/docs/modules/agents/agent_types/xml_agent", "Custom MRKL agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent", "Shared memory across agents and tools": "https://python.langchain.com/docs/modules/agents/how_to/sharedmemory_for_tools", "Custom multi-action agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_multi_action_agent", "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter", "Custom agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent", "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval"}, "MetaphorSearchAPIWrapper": {"Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search"}, "PlayWrightBrowserToolkit": {"Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search", "PlayWright Browser Toolkit": "https://python.langchain.com/docs/integrations/toolkits/playwright"}, "create_async_playwright_browser": {"Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search", "PlayWright Browser Toolkit": "https://python.langchain.com/docs/integrations/toolkits/playwright"}, "MetaphorSearchResults": {"Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search"}, "SerpAPIWrapper": {"SerpAPI": "https://python.langchain.com/docs/integrations/providers/serpapi", "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor", "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt"}, "GraphQLAPIWrapper": {"GraphQL tool": "https://python.langchain.com/docs/integrations/tools/graphql"}, "DuckDuckGoSearchRun": {"DuckDuckGo Search": "https://python.langchain.com/docs/integrations/tools/ddg", "Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github", "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook", "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times"}, "DuckDuckGoSearchResults": {"DuckDuckGo Search": "https://python.langchain.com/docs/integrations/tools/ddg"}, "DuckDuckGoSearchAPIWrapper": {"DuckDuckGo Search": "https://python.langchain.com/docs/integrations/tools/ddg"}, "ConversationBufferMemory": {"Gradio Tools": "https://python.langchain.com/docs/integrations/tools/gradio_tools", "SceneXplain": "https://python.langchain.com/docs/integrations/tools/sceneXplain", "Streamlit Chat Message History": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history", "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history", "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat", "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor", "Bedrock": "https://python.langchain.com/docs/integrations/llms/bedrock", "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools", "Adding Message Memory backed by a database to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db", "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs", "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory", "How to use multiple memory classes in the same chain": "https://python.langchain.com/docs/modules/memory/multiple_memory", "How to customize conversational memory": "https://python.langchain.com/docs/modules/memory/conversational_customization", "How to add Memory to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory", "Shared memory across agents and tools": "https://python.langchain.com/docs/modules/agents/how_to/sharedmemory_for_tools", "Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions"}, "SceneXplainTool": {"SceneXplain": "https://python.langchain.com/docs/integrations/tools/sceneXplain"}, "WolframAlphaAPIWrapper": {"Wolfram Alpha": "https://python.langchain.com/docs/integrations/providers/wolfram_alpha"}, "load_huggingface_tool": {"Requires transformers>=4.29.0 and huggingface_hub>=0.14.1": "https://python.langchain.com/docs/integrations/tools/huggingface_tools"}, "GoogleSearchAPIWrapper": {"Google Search": "https://python.langchain.com/docs/integrations/providers/google_search", "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor", "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research", "Adding Message Memory backed by a database to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db", "How to add Memory to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory", "Shared memory across agents and tools": "https://python.langchain.com/docs/modules/agents/how_to/sharedmemory_for_tools"}, "BingSearchAPIWrapper": {"Bing Search": "https://python.langchain.com/docs/integrations/tools/bing_search"}, "DallEAPIWrapper": {"Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator"}, "ShellTool": {"Shell Tool": "https://python.langchain.com/docs/integrations/tools/bash", "Human-in-the-loop Tool Validation": "https://python.langchain.com/docs/modules/agents/tools/human_approval"}, "ReadFileTool": {"File System Tools": "https://python.langchain.com/docs/integrations/tools/filesystem", "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt", "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times"}, "CopyFileTool": {"File System Tools": "https://python.langchain.com/docs/integrations/tools/filesystem"}, "DeleteFileTool": {"File System Tools": "https://python.langchain.com/docs/integrations/tools/filesystem"}, "MoveFileTool": {"File System Tools": "https://python.langchain.com/docs/integrations/tools/filesystem", "Tools as OpenAI Functions": "https://python.langchain.com/docs/modules/agents/tools/tools_as_openai_functions"}, "WriteFileTool": {"File System Tools": "https://python.langchain.com/docs/integrations/tools/filesystem", "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt", "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times"}, "ListDirectoryTool": {"File System Tools": "https://python.langchain.com/docs/integrations/tools/filesystem"}, "FileManagementToolkit": {"File System Tools": "https://python.langchain.com/docs/integrations/tools/filesystem"}, "BraveSearch": {"Brave Search": "https://python.langchain.com/docs/integrations/providers/brave_search"}, "RedisChatMessageHistory": {"Redis Chat Message History": "https://python.langchain.com/docs/integrations/memory/redis_chat_message_history", "Adding Message Memory backed by a database to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db"}, "ConversationChain": {"Entity Memory with SQLite storage": "https://python.langchain.com/docs/integrations/memory/entity_memory_with_sqlite", "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma", "Bedrock": "https://python.langchain.com/docs/integrations/llms/bedrock", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools", "How to use multiple memory classes in the same chain": "https://python.langchain.com/docs/modules/memory/multiple_memory", "How to customize conversational memory": "https://python.langchain.com/docs/modules/memory/conversational_customization", "Conversation Knowledge Graph Memory": "https://python.langchain.com/docs/modules/memory/types/kg", "ConversationTokenBufferMemory": "https://python.langchain.com/docs/modules/memory/types/token_buffer", "ConversationSummaryBufferMemory": "https://python.langchain.com/docs/modules/memory/types/summary_buffer", "Router": "https://python.langchain.com/docs/modules/chains/foundational/router"}, "ConversationEntityMemory": {"Entity Memory with SQLite storage": "https://python.langchain.com/docs/integrations/memory/entity_memory_with_sqlite"}, "SQLiteEntityStore": {"Entity Memory with SQLite storage": "https://python.langchain.com/docs/integrations/memory/entity_memory_with_sqlite"}, "ENTITY_MEMORY_CONVERSATION_TEMPLATE": {"Entity Memory with SQLite storage": "https://python.langchain.com/docs/integrations/memory/entity_memory_with_sqlite"}, "PostgresChatMessageHistory": {"Postgres Chat Message History": "https://python.langchain.com/docs/integrations/memory/postgres_chat_message_history"}, "MomentoChatMessageHistory": {"Momento Chat Message History": "https://python.langchain.com/docs/integrations/memory/momento_chat_message_history"}, "MongoDBChatMessageHistory": {"Mongodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/mongodb_chat_message_history"}, "CassandraChatMessageHistory": {"Cassandra Chat Message History": "https://python.langchain.com/docs/integrations/memory/cassandra_chat_message_history", "Cassandra": "https://python.langchain.com/docs/integrations/providers/cassandra"}, "MotorheadMemory": {"Mot\u00f6rhead Memory": "https://python.langchain.com/docs/integrations/memory/motorhead_memory", "Mot\u00f6rhead Memory (Managed)": "https://python.langchain.com/docs/integrations/memory/motorhead_memory_managed"}, "StreamlitChatMessageHistory": {"Streamlit Chat Message History": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history"}, "DynamoDBChatMessageHistory": {"Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history"}, "PythonREPL": {"Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history", "Python Agent": "https://python.langchain.com/docs/integrations/toolkits/python", "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"}, "RocksetChatMessageHistory": {"Rockset Chat Message History": "https://python.langchain.com/docs/integrations/memory/rockset_chat_message_history"}, "AzureMLChatOnlineEndpoint": {"AzureML Chat Online Endpoint": "https://python.langchain.com/docs/integrations/chat/azureml_chat_endpoint"}, "LlamaContentFormatter": {"AzureML Chat Online Endpoint": "https://python.langchain.com/docs/integrations/chat/azureml_chat_endpoint"}, "ChatAnthropic": {"Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic", "Log10": "https://python.langchain.com/docs/integrations/providers/log10", "PlayWright Browser Toolkit": "https://python.langchain.com/docs/integrations/toolkits/playwright", "Fallbacks": "https://python.langchain.com/docs/guides/fallbacks", "Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval", "Custom Pairwise Evaluator": "https://python.langchain.com/docs/guides/evaluation/comparison/custom", "Pairwise String Comparison": "https://python.langchain.com/docs/guides/evaluation/comparison/pairwise_string", "Criteria Evaluation": "https://python.langchain.com/docs/guides/evaluation/string/criteria_eval_chain", "XML Agent": "https://python.langchain.com/docs/modules/agents/agent_types/xml_agent", "Few shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat"}, "ChatPromptTemplate": {"Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic", "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm", "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai", "Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/chat/google_vertex_ai_palm", "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat", "Context": "https://python.langchain.com/docs/integrations/callbacks/context", "OpenAI Functions Metadata Tagger": "https://python.langchain.com/docs/integrations/document_transformers/openai_metadata_tagger", "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma", "Fireworks": "https://python.langchain.com/docs/integrations/llms/Fireworks", "Fallbacks": "https://python.langchain.com/docs/guides/fallbacks", "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook", "Interface": "https://python.langchain.com/docs/guides/expression_language/interface", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "Extraction": "https://python.langchain.com/docs/use_cases/extraction", "Tagging": "https://python.langchain.com/docs/use_cases/tagging", "Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian", "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory", "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry", "Pydantic (JSON) parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/pydantic", "Few shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat", "Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining", "Using OpenAI functions": "https://python.langchain.com/docs/modules/chains/how_to/openai_functions"}, "SystemMessagePromptTemplate": {"Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic", "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm", "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai", "Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/chat/google_vertex_ai_palm", "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat", "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma", "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/agent_simulations/camel_role_playing"}, "AIMessagePromptTemplate": {"Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic", "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm", "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai", "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat", "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma"}, "HumanMessagePromptTemplate": {"Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic", "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm", "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai", "Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/chat/google_vertex_ai_palm", "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat", "Context": "https://python.langchain.com/docs/integrations/callbacks/context", "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma", "Fireworks": "https://python.langchain.com/docs/integrations/llms/Fireworks", "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "Extraction": "https://python.langchain.com/docs/use_cases/extraction", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/agent_simulations/camel_role_playing", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian", "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory", "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry", "Pydantic (JSON) parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/pydantic", "Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining", "Using OpenAI functions": "https://python.langchain.com/docs/modules/chains/how_to/openai_functions"}, "CallbackManager": {"Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic", "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm", "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama", "Llama.cpp": "https://python.langchain.com/docs/integrations/llms/llamacpp", "Titan Takeoff": "https://python.langchain.com/docs/integrations/llms/titan_takeoff", "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"}, "StreamingStdOutCallbackHandler": {"Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic", "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm", "GPT4All": "https://python.langchain.com/docs/integrations/llms/gpt4all", "Arthur": "https://python.langchain.com/docs/integrations/providers/arthur_tracking", "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat", "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama", "Llama.cpp": "https://python.langchain.com/docs/integrations/llms/llamacpp", "Titan Takeoff": "https://python.langchain.com/docs/integrations/llms/titan_takeoff", "Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai", "C Transformers": "https://python.langchain.com/docs/integrations/llms/ctransformers", "Huggingface TextGen Inference": "https://python.langchain.com/docs/integrations/llms/huggingface_textgen_inference", "Replicate": "https://python.langchain.com/docs/integrations/llms/replicate", "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"}, "ChatLiteLLM": {"\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm"}, "create_tagging_chain": {"Llama API": "https://python.langchain.com/docs/integrations/chat/llama_api", "Anthropic Functions": "https://python.langchain.com/docs/integrations/chat/anthropic_functions", "Tagging": "https://python.langchain.com/docs/use_cases/tagging"}, "ChatVertexAI": {"Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/chat/google_vertex_ai_palm"}, "JinaChat": {"JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat"}, "AzureChatOpenAI": {"Azure": "https://python.langchain.com/docs/integrations/chat/azure_chat_openai", "Azure OpenAI": "https://python.langchain.com/docs/integrations/providers/azure_openai"}, "get_openai_callback": {"Azure": "https://python.langchain.com/docs/integrations/chat/azure_chat_openai", "Token counting": "https://python.langchain.com/docs/modules/callbacks/token_counting", "Tracking token usage": "https://python.langchain.com/docs/modules/model_io/models/llms/token_usage_tracking"}, "ErnieBotChat": {"ERNIE-Bot Chat": "https://python.langchain.com/docs/integrations/chat/ernie"}, "PromptLayerChatOpenAI": {"PromptLayer ChatOpenAI": "https://python.langchain.com/docs/integrations/chat/promptlayer_chatopenai"}, "ChatAnyscale": {"Anyscale": "https://python.langchain.com/docs/integrations/chat/anyscale"}, "create_extraction_chain": {"Anthropic Functions": "https://python.langchain.com/docs/integrations/chat/anthropic_functions", "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping", "Extraction": "https://python.langchain.com/docs/use_cases/extraction"}, "ContextCallbackHandler": {"Context": "https://python.langchain.com/docs/integrations/callbacks/context"}, "LabelStudioCallbackHandler": {"Label Studio": "https://python.langchain.com/docs/integrations/callbacks/labelstudio"}, "ArgillaCallbackHandler": {"Argilla": "https://python.langchain.com/docs/integrations/providers/argilla"}, "StdOutCallbackHandler": {"Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla", "Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking", "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking", "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking", "ClearML": "https://python.langchain.com/docs/integrations/providers/clearml_tracking", "Async API": "https://python.langchain.com/docs/modules/agents/how_to/async_agent", "Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain"}, "PromptLayerCallbackHandler": {"PromptLayer": "https://python.langchain.com/docs/integrations/callbacks/promptlayer"}, "GPT4All": {"PromptLayer": "https://python.langchain.com/docs/integrations/callbacks/promptlayer", "GPT4All": "https://python.langchain.com/docs/integrations/llms/gpt4all", "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa"}, "StreamlitCallbackHandler": {"Streamlit": "https://python.langchain.com/docs/integrations/callbacks/.ipynb_checkpoints/streamlit-checkpoint", "GPT4All": "https://python.langchain.com/docs/integrations/providers/gpt4all"}, "FigmaFileLoader": {"Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma"}, "AzureOpenAI": {"Azure OpenAI": "https://python.langchain.com/docs/integrations/llms/azure_openai_example", "OpenAI": "https://python.langchain.com/docs/integrations/providers/openai"}, "MyScale": {"MyScale": "https://python.langchain.com/docs/integrations/vectorstores/myscale", "Self-querying with MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query"}, "Baseten": {"Baseten": "https://python.langchain.com/docs/integrations/llms/baseten"}, "WeatherDataLoader": {"Weather": "https://python.langchain.com/docs/integrations/document_loaders/weather"}, "Tair": {"Tair": "https://python.langchain.com/docs/integrations/vectorstores/tair"}, "UnstructuredWordDocumentLoader": {"Microsoft Word": "https://python.langchain.com/docs/integrations/document_loaders/microsoft_word"}, "CollegeConfidentialLoader": {"College Confidential": "https://python.langchain.com/docs/integrations/document_loaders/college_confidential"}, "RWKV": {"RWKV-4": "https://python.langchain.com/docs/integrations/providers/rwkv"}, "GoogleDriveLoader": {"Google Drive": "https://python.langchain.com/docs/integrations/document_loaders/google_drive"}, "Fireworks": {"Fireworks": "https://python.langchain.com/docs/integrations/llms/Fireworks"}, "AmazonAPIGateway": {"Amazon API Gateway": "https://python.langchain.com/docs/integrations/llms/amazon_api_gateway_example"}, "UnstructuredPowerPointLoader": {"Microsoft PowerPoint": "https://python.langchain.com/docs/integrations/document_loaders/microsoft_powerpoint"}, "CometCallbackHandler": {"Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking"}, "CTransformers": {"C Transformers": "https://python.langchain.com/docs/integrations/llms/ctransformers"}, "BiliBiliLoader": {"BiliBili": "https://python.langchain.com/docs/integrations/document_loaders/bilibili"}, "DiffbotLoader": {"Diffbot": "https://python.langchain.com/docs/integrations/document_loaders/diffbot"}, "DeepSparse": {"DeepSparse": "https://python.langchain.com/docs/integrations/llms/deepsparse"}, "AimCallbackHandler": {"Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking"}, "ModernTreasuryLoader": {"Modern Treasury": "https://python.langchain.com/docs/integrations/document_loaders/modern_treasury"}, "FacebookChatLoader": {"Facebook Chat": "https://python.langchain.com/docs/integrations/document_loaders/facebook_chat"}, "Banana": {"Banana": "https://python.langchain.com/docs/integrations/llms/banana"}, "HuggingFacePipeline": {"Hugging Face": "https://python.langchain.com/docs/integrations/providers/huggingface", "RELLM": "https://python.langchain.com/docs/integrations/llms/rellm_experimental", "JSONFormer": "https://python.langchain.com/docs/integrations/llms/jsonformer_experimental"}, "HuggingFaceHub": {"Hugging Face": "https://python.langchain.com/docs/integrations/providers/huggingface"}, "HuggingFaceHubEmbeddings": {"Hugging Face": "https://python.langchain.com/docs/integrations/providers/huggingface"}, "CharacterTextSplitter": {"Hugging Face": "https://python.langchain.com/docs/integrations/providers/huggingface", "OpenAI": "https://python.langchain.com/docs/integrations/providers/openai", "Elasticsearch": "https://python.langchain.com/docs/integrations/vectorstores/elasticsearch", "Vectara Text Generation": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation", "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit", "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore", "LanceDB": "https://python.langchain.com/docs/integrations/vectorstores/lancedb", "Weaviate": "https://python.langchain.com/docs/integrations/vectorstores/weaviate", "DashVector": "https://python.langchain.com/docs/integrations/vectorstores/dashvector", "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann", "Xata": "https://python.langchain.com/docs/integrations/vectorstores/xata", "Vectara": "https://python.langchain.com/docs/integrations/vectorstores/vectara", "Redis": "https://python.langchain.com/docs/integrations/vectorstores/redis", "PGVector": "https://python.langchain.com/docs/integrations/vectorstores/pgvector", "Rockset": "https://python.langchain.com/docs/integrations/vectorstores/rockset", "Dingo": "https://python.langchain.com/docs/integrations/vectorstores/dingo", "Zilliz": "https://python.langchain.com/docs/integrations/vectorstores/zilliz", "SingleStoreDB": "https://python.langchain.com/docs/integrations/vectorstores/singlestoredb", "Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy", "Typesense": "https://python.langchain.com/docs/integrations/vectorstores/typesense", "Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake", "Tair": "https://python.langchain.com/docs/integrations/vectorstores/tair", "Chroma": "https://python.langchain.com/docs/integrations/vectorstores/chroma", "Alibaba Cloud OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/alibabacloud_opensearch", "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks", "Clarifai": "https://python.langchain.com/docs/integrations/vectorstores/clarifai", "scikit-learn": "https://python.langchain.com/docs/integrations/vectorstores/sklearn", "DocArrayHnswSearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_hnsw", "MyScale": "https://python.langchain.com/docs/integrations/vectorstores/myscale", "ClickHouse Vector Search": "https://python.langchain.com/docs/integrations/vectorstores/clickhouse", "Qdrant": "https://python.langchain.com/docs/integrations/vectorstores/qdrant", "Tigris": "https://python.langchain.com/docs/integrations/vectorstores/tigris", "AwaDB": "https://python.langchain.com/docs/integrations/vectorstores/awadb", "Supabase (Postgres)": "https://python.langchain.com/docs/integrations/vectorstores/supabase", "OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/opensearch", "Pinecone": "https://python.langchain.com/docs/integrations/vectorstores/pinecone", "BagelDB": "https://python.langchain.com/docs/integrations/vectorstores/bageldb", "Azure Cognitive Search": "https://python.langchain.com/docs/integrations/vectorstores/azuresearch", "Cassandra": "https://python.langchain.com/docs/integrations/vectorstores/cassandra", "USearch": "https://python.langchain.com/docs/integrations/vectorstores/usearch", "Milvus": "https://python.langchain.com/docs/integrations/vectorstores/milvus", "Marqo": "https://python.langchain.com/docs/integrations/vectorstores/marqo", "DocArrayInMemorySearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_in_memory", "pg_embedding": "https://python.langchain.com/docs/integrations/vectorstores/pgembedding", "FAISS": "https://python.langchain.com/docs/integrations/vectorstores/faiss", "AnalyticDB": "https://python.langchain.com/docs/integrations/vectorstores/analyticdb", "Hologres": "https://python.langchain.com/docs/integrations/vectorstores/hologres", "MongoDB Atlas": "https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas", "Meilisearch": "https://python.langchain.com/docs/integrations/vectorstores/meilisearch", "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma", "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic", "Manifest": "https://python.langchain.com/docs/integrations/llms/manifest", "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching", "Summarization": "https://python.langchain.com/docs/use_cases/summarization", "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents", "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation", "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde", "Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake", "Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context", "Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings", "Split by tokens ": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/split_by_token", "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs", "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore", "Loading from LangChainHub": "https://python.langchain.com/docs/modules/chains/how_to/from_hub"}, "DocugamiLoader": {"Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami"}, "GutenbergLoader": {"Gutenberg": "https://python.langchain.com/docs/integrations/document_loaders/gutenberg"}, "AzureBlobStorageContainerLoader": {"Azure Blob Storage": "https://python.langchain.com/docs/integrations/providers/azure_blob_storage", "Azure Blob Storage Container": "https://python.langchain.com/docs/integrations/document_loaders/azure_blob_storage_container"}, "AzureBlobStorageFileLoader": {"Azure Blob Storage": "https://python.langchain.com/docs/integrations/providers/azure_blob_storage", "Azure Blob Storage File": "https://python.langchain.com/docs/integrations/document_loaders/azure_blob_storage_file"}, "WikipediaLoader": {"Wikipedia": "https://python.langchain.com/docs/integrations/document_loaders/wikipedia"}, "ConfluenceLoader": {"Confluence": "https://python.langchain.com/docs/integrations/document_loaders/confluence"}, "Predibase": {"Predibase": "https://python.langchain.com/docs/integrations/llms/predibase"}, "Beam": {"Beam": "https://python.langchain.com/docs/integrations/llms/beam"}, "GrobidParser": {"Grobid": "https://python.langchain.com/docs/integrations/document_loaders/grobid"}, "GenericLoader": {"Grobid": "https://python.langchain.com/docs/integrations/document_loaders/grobid", "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio", "Source Code": "https://python.langchain.com/docs/integrations/document_loaders/source_code", "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding"}, "Typesense": {"Typesense": "https://python.langchain.com/docs/integrations/vectorstores/typesense"}, "Hologres": {"Hologres": "https://python.langchain.com/docs/integrations/vectorstores/hologres"}, "AI21": {"AI21 Labs": "https://python.langchain.com/docs/integrations/providers/ai21", "AI21": "https://python.langchain.com/docs/integrations/llms/ai21"}, "WandbCallbackHandler": {"Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking"}, "ObsidianLoader": {"Obsidian": "https://python.langchain.com/docs/integrations/document_loaders/obsidian"}, "create_sql_agent": {"CnosDB": "https://python.langchain.com/docs/integrations/providers/cnosdb", "SQL Database Agent": "https://python.langchain.com/docs/integrations/toolkits/sql_database", "SQL": "https://python.langchain.com/docs/use_cases/sql"}, "SQLDatabaseToolkit": {"CnosDB": "https://python.langchain.com/docs/integrations/providers/cnosdb", "SQL Database Agent": "https://python.langchain.com/docs/integrations/toolkits/sql_database", "SQL": "https://python.langchain.com/docs/use_cases/sql", "Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions"}, "SageMakerCallbackHandler": {"SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking"}, "OpenAIModerationChain": {"OpenAI": "https://python.langchain.com/docs/integrations/providers/openai", "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"}, "ChatGPTLoader": {"OpenAI": "https://python.langchain.com/docs/integrations/providers/openai", "ChatGPT Data": "https://python.langchain.com/docs/integrations/document_loaders/chatgpt_loader"}, "Nebula": {"Nebula": "https://python.langchain.com/docs/integrations/providers/symblai_nebula", "Nebula (Symbl.ai)": "https://python.langchain.com/docs/integrations/llms/symblai_nebula"}, "AZLyricsLoader": {"AZLyrics": "https://python.langchain.com/docs/integrations/document_loaders/azlyrics"}, "ToMarkdownLoader": {"2Markdown": "https://python.langchain.com/docs/integrations/document_loaders/tomarkdown"}, "Dingo": {"Dingo": "https://python.langchain.com/docs/integrations/vectorstores/dingo"}, "GitLoader": {"Git": "https://python.langchain.com/docs/integrations/document_loaders/git"}, "InfinoCallbackHandler": {"Infino": "https://python.langchain.com/docs/integrations/providers/infino"}, "MlflowAIGateway": {"MLflow AI Gateway": "https://python.langchain.com/docs/integrations/providers/mlflow_ai_gateway"}, "MlflowAIGatewayEmbeddings": {"MLflow AI Gateway": "https://python.langchain.com/docs/integrations/providers/mlflow_ai_gateway"}, "ChatMLflowAIGateway": {"MLflow AI Gateway": "https://python.langchain.com/docs/integrations/providers/mlflow_ai_gateway"}, "SingleStoreDB": {"SingleStoreDB": "https://python.langchain.com/docs/integrations/vectorstores/singlestoredb"}, "Tigris": {"Tigris": "https://python.langchain.com/docs/integrations/vectorstores/tigris"}, "Bedrock": {"Bedrock": "https://python.langchain.com/docs/integrations/llms/bedrock"}, "S3DirectoryLoader": {"AWS S3 Directory": "https://python.langchain.com/docs/integrations/document_loaders/aws_s3_directory"}, "S3FileLoader": {"AWS S3 Directory": "https://python.langchain.com/docs/integrations/providers/aws_s3", "AWS S3 File": "https://python.langchain.com/docs/integrations/document_loaders/aws_s3_file"}, "SQLDatabase": {"Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff", "SQL Database Agent": "https://python.langchain.com/docs/integrations/toolkits/sql_database", "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook", "SQL": "https://python.langchain.com/docs/use_cases/sql", "Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval"}, "Weaviate": {"Weaviate": "https://python.langchain.com/docs/integrations/vectorstores/weaviate", "Weaviate self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query"}, "AirbyteJSONLoader": {"Airbyte": "https://python.langchain.com/docs/integrations/providers/airbyte", "Airbyte JSON": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_json"}, "TelegramChatFileLoader": {"Telegram": "https://python.langchain.com/docs/integrations/document_loaders/telegram"}, "TelegramChatApiLoader": {"Telegram": "https://python.langchain.com/docs/integrations/document_loaders/telegram"}, "PredictionGuard": {"Prediction Guard": "https://python.langchain.com/docs/integrations/llms/predictionguard"}, "NotionDirectoryLoader": {"Notion DB": "https://python.langchain.com/docs/integrations/providers/notion", "Notion DB 1/2": "https://python.langchain.com/docs/integrations/document_loaders/notion", "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA"}, "NotionDBLoader": {"Notion DB": "https://python.langchain.com/docs/integrations/providers/notion", "Notion DB 2/2": "https://python.langchain.com/docs/integrations/document_loaders/notiondb"}, "MWDumpLoader": {"MediaWikiDump": "https://python.langchain.com/docs/integrations/document_loaders/mediawikidump"}, "BraveSearchLoader": {"Brave Search": "https://python.langchain.com/docs/integrations/document_loaders/brave_search"}, "StarRocks": {"StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks"}, "ElasticsearchStore": {"Elasticsearch": "https://python.langchain.com/docs/integrations/vectorstores/elasticsearch", "Elasticsearch self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query"}, "DatadogLogsLoader": {"Datadog Logs": "https://python.langchain.com/docs/integrations/document_loaders/datadog_logs"}, "ApifyDatasetLoader": {"Apify": "https://python.langchain.com/docs/integrations/providers/apify", "Apify Dataset": "https://python.langchain.com/docs/integrations/document_loaders/apify_dataset"}, "NLPCloud": {"NLPCloud": "https://python.langchain.com/docs/integrations/providers/nlpcloud", "NLP Cloud": "https://python.langchain.com/docs/integrations/llms/nlpcloud"}, "Milvus": {"Milvus": "https://python.langchain.com/docs/integrations/vectorstores/milvus", "Zilliz": "https://python.langchain.com/docs/integrations/vectorstores/zilliz"}, "Qdrant": {"Qdrant": "https://python.langchain.com/docs/integrations/vectorstores/qdrant", "Qdrant self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query"}, "GitbookLoader": {"GitBook": "https://python.langchain.com/docs/integrations/document_loaders/gitbook"}, "OpenSearchVectorSearch": {"OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/opensearch"}, "Pinecone": {"Pinecone": "https://python.langchain.com/docs/integrations/vectorstores/pinecone", "Self-querying with Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone"}, "Rockset": {"Rockset": "https://python.langchain.com/docs/integrations/vectorstores/rockset"}, "RocksetLoader": {"Rockset": "https://python.langchain.com/docs/integrations/document_loaders/rockset"}, "Minimax": {"Minimax": "https://python.langchain.com/docs/integrations/llms/minimax"}, "UnstructuredFileLoader": {"Unstructured": "https://python.langchain.com/docs/integrations/providers/unstructured", "Unstructured File": "https://python.langchain.com/docs/integrations/document_loaders/unstructured_file"}, "SelfHostedPipeline": {"Runhouse": "https://python.langchain.com/docs/integrations/llms/runhouse"}, "SelfHostedHuggingFaceLLM": {"Runhouse": "https://python.langchain.com/docs/integrations/llms/runhouse"}, "MlflowCallbackHandler": {"MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking"}, "SpreedlyLoader": {"Spreedly": "https://python.langchain.com/docs/integrations/document_loaders/spreedly"}, "OpenLLM": {"OpenLLM": "https://python.langchain.com/docs/integrations/llms/openllm"}, "PubMedLoader": {"PubMed": "https://python.langchain.com/docs/integrations/document_loaders/pubmed"}, "SearxSearchResults": {"SearxNG Search API": "https://python.langchain.com/docs/integrations/providers/searx"}, "SpacyTextSplitter": {"spaCy": "https://python.langchain.com/docs/integrations/providers/spacy", "Atlas": "https://python.langchain.com/docs/integrations/vectorstores/atlas", "Split by tokens ": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/split_by_token"}, "Modal": {"Modal": "https://python.langchain.com/docs/integrations/llms/modal"}, "Xinference": {"Xorbits Inference (Xinference)": "https://python.langchain.com/docs/integrations/llms/xinference"}, "IFixitLoader": {"iFixit": "https://python.langchain.com/docs/integrations/document_loaders/ifixit"}, "AlephAlpha": {"Aleph Alpha": "https://python.langchain.com/docs/integrations/llms/aleph_alpha"}, "PipelineAI": {"PipelineAI": "https://python.langchain.com/docs/integrations/llms/pipelineai_example"}, "LlamaCpp": {"Llama.cpp": "https://python.langchain.com/docs/integrations/llms/llamacpp", "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"}, "AwaDB": {"AwaDB": "https://python.langchain.com/docs/integrations/vectorstores/awadb"}, "ArxivLoader": {"Arxiv": "https://python.langchain.com/docs/integrations/document_loaders/arxiv"}, "Anyscale": {"Anyscale": "https://python.langchain.com/docs/integrations/llms/anyscale"}, "StripeLoader": {"Stripe": "https://python.langchain.com/docs/integrations/document_loaders/stripe"}, "Bagel": {"BagelDB": "https://python.langchain.com/docs/integrations/vectorstores/bageldb"}, "BlackboardLoader": {"Blackboard": "https://python.langchain.com/docs/integrations/document_loaders/blackboard"}, "WhatsAppChatLoader": {"WhatsApp": "https://python.langchain.com/docs/integrations/providers/whatsapp", "WhatsApp Chat": "https://python.langchain.com/docs/integrations/document_loaders/whatsapp_chat"}, "LanceDB": {"LanceDB": "https://python.langchain.com/docs/integrations/vectorstores/lancedb"}, "OneDriveLoader": {"Microsoft OneDrive": "https://python.langchain.com/docs/integrations/document_loaders/microsoft_onedrive"}, "AnalyticDB": {"AnalyticDB": "https://python.langchain.com/docs/integrations/vectorstores/analyticdb"}, "YoutubeLoader": {"YouTube": "https://python.langchain.com/docs/integrations/providers/youtube", "YouTube transcripts": "https://python.langchain.com/docs/integrations/document_loaders/youtube_transcript"}, "GoogleApiYoutubeLoader": {"YouTube": "https://python.langchain.com/docs/integrations/providers/youtube", "YouTube transcripts": "https://python.langchain.com/docs/integrations/document_loaders/youtube_transcript"}, "PromptLayerOpenAI": {"PromptLayer": "https://python.langchain.com/docs/integrations/providers/promptlayer", "PromptLayer OpenAI": "https://python.langchain.com/docs/integrations/llms/promptlayer_openai"}, "DeepLake": {"Deep Lake": "https://python.langchain.com/docs/integrations/providers/deeplake", "Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake", "Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake", "Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake", "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat", "Deep Lake self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query"}, "WhyLabsCallbackHandler": {"WhyLabs": "https://python.langchain.com/docs/integrations/providers/whylabs_profiling"}, "FlyteCallbackHandler": {"Flyte": "https://python.langchain.com/docs/integrations/providers/flyte"}, "wandb_tracing_enabled": {"WandB Tracing": "https://python.langchain.com/docs/integrations/providers/wandb_tracing"}, "ManifestWrapper": {"Hazy Research": "https://python.langchain.com/docs/integrations/providers/hazy_research", "Manifest": "https://python.langchain.com/docs/integrations/llms/manifest"}, "Marqo": {"Marqo": "https://python.langchain.com/docs/integrations/vectorstores/marqo"}, "IMSDbLoader": {"IMSDb": "https://python.langchain.com/docs/integrations/document_loaders/imsdb"}, "PGVector": {"PGVector": "https://python.langchain.com/docs/integrations/vectorstores/pgvector"}, "DeepInfra": {"DeepInfra": "https://python.langchain.com/docs/integrations/llms/deepinfra_example"}, "ZeroShotAgent": {"Jina": "https://python.langchain.com/docs/integrations/providers/jina", "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent", "Adding Message Memory backed by a database to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db", "How to add Memory to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory", "Custom MRKL agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent", "Shared memory across agents and tools": "https://python.langchain.com/docs/modules/agents/how_to/sharedmemory_for_tools"}, "RedditPostsLoader": {"Reddit": "https://python.langchain.com/docs/integrations/document_loaders/reddit"}, "TrelloLoader": {"Trello": "https://python.langchain.com/docs/integrations/document_loaders/trello"}, "AtlasDB": {"AtlasDB": "https://python.langchain.com/docs/integrations/providers/atlas", "Atlas": "https://python.langchain.com/docs/integrations/vectorstores/atlas"}, "SKLearnVectorStore": {"scikit-learn": "https://python.langchain.com/docs/integrations/vectorstores/sklearn"}, "EverNoteLoader": {"EverNote": "https://python.langchain.com/docs/integrations/document_loaders/evernote"}, "TwitterTweetLoader": {"Twitter": "https://python.langchain.com/docs/integrations/document_loaders/twitter"}, "DiscordChatLoader": {"Discord": "https://python.langchain.com/docs/integrations/document_loaders/discord"}, "RedisCache": {"Redis": "https://python.langchain.com/docs/integrations/providers/redis", "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"}, "RedisSemanticCache": {"Redis": "https://python.langchain.com/docs/integrations/providers/redis", "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"}, "Redis": {"Redis": "https://python.langchain.com/docs/integrations/vectorstores/redis"}, "SelfQueryRetriever": {"Chroma": "https://python.langchain.com/docs/integrations/providers/.ipynb_checkpoints/chroma-checkpoint", "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami", "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA", "Weaviate self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query", "Elasticsearch self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query", "Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query", "Self-querying with Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone", "Self-querying with MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query", "Deep Lake self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query", "Qdrant self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query"}, "ClearMLCallbackHandler": {"ClearML": "https://python.langchain.com/docs/integrations/providers/clearml_tracking"}, "Cohere": {"Cohere": "https://python.langchain.com/docs/integrations/llms/cohere"}, "SlackDirectoryLoader": {"Slack": "https://python.langchain.com/docs/integrations/document_loaders/slack"}, "LLMContentHandler": {"SageMaker Endpoint": "https://python.langchain.com/docs/integrations/providers/sagemaker_endpoint", "SageMakerEndpoint": "https://python.langchain.com/docs/integrations/llms/sagemaker"}, "ContentHandlerBase": {"SageMaker Endpoint": "https://python.langchain.com/docs/integrations/providers/sagemaker_endpoint"}, "HNLoader": {"Hacker News": "https://python.langchain.com/docs/integrations/document_loaders/hacker_news"}, "Annoy": {"Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy"}, "DashVector": {"DashVector": "https://python.langchain.com/docs/integrations/vectorstores/dashvector"}, "GCSDirectoryLoader": {"Google Cloud Storage": "https://python.langchain.com/docs/integrations/providers/google_cloud_storage", "Google Cloud Storage Directory": "https://python.langchain.com/docs/integrations/document_loaders/google_cloud_storage_directory"}, "GCSFileLoader": {"Google Cloud Storage": "https://python.langchain.com/docs/integrations/providers/google_cloud_storage", "Google Cloud Storage File": "https://python.langchain.com/docs/integrations/document_loaders/google_cloud_storage_file"}, "ArthurCallbackHandler": {"Arthur": "https://python.langchain.com/docs/integrations/providers/arthur_tracking"}, "DuckDBLoader": {"DuckDB": "https://python.langchain.com/docs/integrations/document_loaders/duckdb"}, "Petals": {"Petals": "https://python.langchain.com/docs/integrations/llms/petals_example"}, "MomentoCache": {"Momento": "https://python.langchain.com/docs/integrations/providers/momento", "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"}, "NIBittensorLLM": {"NIBittensor": "https://python.langchain.com/docs/integrations/providers/bittensor", "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor"}, "AirtableLoader": {"Airtable": "https://python.langchain.com/docs/integrations/document_loaders/airtable"}, "TensorflowDatasetLoader": {"TensorFlow Datasets": "https://python.langchain.com/docs/integrations/document_loaders/tensorflow_datasets"}, "Clarifai": {"Clarifai": "https://python.langchain.com/docs/integrations/llms/clarifai"}, "BigQueryLoader": {"Google BigQuery": "https://python.langchain.com/docs/integrations/document_loaders/google_bigquery"}, "RoamLoader": {"Roam": "https://python.langchain.com/docs/integrations/document_loaders/roam"}, "Portkey": {"Log, Trace, and Monitor Langchain LLM Calls": "https://python.langchain.com/docs/integrations/providers/portkey/logging_tracing_portkey", "Portkey": "https://python.langchain.com/docs/integrations/providers/portkey/index"}, "Vectara": {"Vectara": "https://python.langchain.com/docs/integrations/vectorstores/vectara", "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat", "Vectara Text Generation": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation"}, "VectaraRetriever": {"Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat"}, "load_qa_chain": {"Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat", "SageMakerEndpoint": "https://python.langchain.com/docs/integrations/llms/sagemaker", "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index", "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research", "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs"}, "CONDENSE_QUESTION_PROMPT": {"Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat"}, "load_qa_with_sources_chain": {"Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat", "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times"}, "QA_PROMPT": {"Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat"}, "create_csv_agent": {"CSV Agent": "https://python.langchain.com/docs/integrations/toolkits/csv"}, "create_xorbits_agent": {"Xorbits Agent": "https://python.langchain.com/docs/integrations/toolkits/xorbits"}, "JiraToolkit": {"Jira": "https://python.langchain.com/docs/integrations/toolkits/jira"}, "JiraAPIWrapper": {"Jira": "https://python.langchain.com/docs/integrations/toolkits/jira"}, "create_spark_dataframe_agent": {"Spark Dataframe Agent": "https://python.langchain.com/docs/integrations/toolkits/spark"}, "PyPDFLoader": {"Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit", "Google Cloud Storage File": "https://python.langchain.com/docs/integrations/document_loaders/google_cloud_storage_file", "MergeDocLoader": "https://python.langchain.com/docs/integrations/document_loaders/merge_doc_loader", "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat"}, "create_python_agent": {"Python Agent": "https://python.langchain.com/docs/integrations/toolkits/python"}, "PythonREPLTool": {"Python Agent": "https://python.langchain.com/docs/integrations/toolkits/python"}, "create_pbi_agent": {"PowerBI Dataset Agent": "https://python.langchain.com/docs/integrations/toolkits/powerbi"}, "PowerBIToolkit": {"PowerBI Dataset Agent": "https://python.langchain.com/docs/integrations/toolkits/powerbi"}, "PowerBIDataset": {"PowerBI Dataset Agent": "https://python.langchain.com/docs/integrations/toolkits/powerbi"}, "AzureCognitiveServicesToolkit": {"Azure Cognitive Services Toolkit": "https://python.langchain.com/docs/integrations/toolkits/azure_cognitive_services"}, "Requests": {"Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla"}, "APIOperation": {"Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla"}, "OpenAPISpec": {"Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla"}, "NLAToolkit": {"Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla", "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval"}, "GmailToolkit": {"Gmail Toolkit": "https://python.langchain.com/docs/integrations/toolkits/gmail"}, "build_resource_service": {"Gmail Toolkit": "https://python.langchain.com/docs/integrations/toolkits/gmail"}, "get_gmail_credentials": {"Gmail Toolkit": "https://python.langchain.com/docs/integrations/toolkits/gmail"}, "create_json_agent": {"JSON Agent": "https://python.langchain.com/docs/integrations/toolkits/json"}, "JsonToolkit": {"JSON Agent": "https://python.langchain.com/docs/integrations/toolkits/json"}, "JsonSpec": {"JSON Agent": "https://python.langchain.com/docs/integrations/toolkits/json", "OpenAPI agents": "https://python.langchain.com/docs/integrations/toolkits/openapi"}, "GitHubToolkit": {"Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github"}, "GitHubAPIWrapper": {"Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github"}, "GitHubAction": {"Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github"}, "create_spark_sql_agent": {"Spark SQL Agent": "https://python.langchain.com/docs/integrations/toolkits/spark_sql"}, "SparkSQLToolkit": {"Spark SQL Agent": "https://python.langchain.com/docs/integrations/toolkits/spark_sql"}, "SparkSQL": {"Spark SQL Agent": "https://python.langchain.com/docs/integrations/toolkits/spark_sql"}, "create_sync_playwright_browser": {"PlayWright Browser Toolkit": "https://python.langchain.com/docs/integrations/toolkits/playwright"}, "O365Toolkit": {"Office365 Toolkit": "https://python.langchain.com/docs/integrations/toolkits/office365"}, "create_pandas_dataframe_agent": {"Pandas Dataframe Agent": "https://python.langchain.com/docs/integrations/toolkits/pandas", "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times"}, "MultionToolkit": {"MultiOn Toolkit": "https://python.langchain.com/docs/integrations/toolkits/multion"}, "AmadeusToolkit": {"Amadeus Toolkit": "https://python.langchain.com/docs/integrations/toolkits/amadeus"}, "create_vectorstore_agent": {"Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore"}, "VectorStoreToolkit": {"Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore"}, "VectorStoreInfo": {"Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore"}, "create_vectorstore_router_agent": {"Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore"}, "VectorStoreRouterToolkit": {"Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore"}, "reduce_openapi_spec": {"OpenAPI agents": "https://python.langchain.com/docs/integrations/toolkits/openapi"}, "RequestsWrapper": {"OpenAPI agents": "https://python.langchain.com/docs/integrations/toolkits/openapi"}, "create_openapi_agent": {"OpenAPI agents": "https://python.langchain.com/docs/integrations/toolkits/openapi"}, "OpenAPIToolkit": {"OpenAPI agents": "https://python.langchain.com/docs/integrations/toolkits/openapi"}, "RetrievalQAWithSourcesChain": {"Weaviate": "https://python.langchain.com/docs/integrations/vectorstores/weaviate", "Marqo": "https://python.langchain.com/docs/integrations/vectorstores/marqo", "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic", "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping", "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"}, "MatchingEngine": {"MatchingEngine": "https://python.langchain.com/docs/integrations/vectorstores/matchingengine"}, "ScaNN": {"ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann"}, "google_palm": {"ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann"}, "XataVectorStore": {"Xata": "https://python.langchain.com/docs/integrations/vectorstores/xata"}, "InMemoryDocstore": {"Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy", "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt", "BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/agents/baby_agi", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent", "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times", "Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/agent_simulations/characters"}, "OpenAIChat": {"Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake"}, "AlibabaCloudOpenSearch": {"Alibaba Cloud OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/alibabacloud_opensearch"}, "AlibabaCloudOpenSearchSettings": {"Alibaba Cloud OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/alibabacloud_opensearch"}, "StarRocksSettings": {"StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks"}, "TokenTextSplitter": {"StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks", "Split by tokens ": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/split_by_token"}, "DirectoryLoader": {"StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks"}, "UnstructuredMarkdownLoader": {"StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks"}, "DocArrayHnswSearch": {"DocArrayHnswSearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_hnsw"}, "MyScaleSettings": {"MyScale": "https://python.langchain.com/docs/integrations/vectorstores/myscale"}, "Clickhouse": {"ClickHouse Vector Search": "https://python.langchain.com/docs/integrations/vectorstores/clickhouse"}, "ClickhouseSettings": {"ClickHouse Vector Search": "https://python.langchain.com/docs/integrations/vectorstores/clickhouse"}, "SupabaseVectorStore": {"Supabase (Postgres)": "https://python.langchain.com/docs/integrations/vectorstores/supabase"}, "AzureSearch": {"Azure Cognitive Search": "https://python.langchain.com/docs/integrations/vectorstores/azuresearch"}, "Cassandra": {"Cassandra": "https://python.langchain.com/docs/integrations/vectorstores/cassandra"}, "USearch": {"USearch": "https://python.langchain.com/docs/integrations/vectorstores/usearch"}, "ElasticVectorSearch": {"Elasticsearch": "https://python.langchain.com/docs/integrations/vectorstores/elasticsearch", "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs"}, "DocArrayInMemorySearch": {"DocArrayInMemorySearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_in_memory"}, "PGEmbedding": {"pg_embedding": "https://python.langchain.com/docs/integrations/vectorstores/pgembedding"}, "MongoDBAtlasVectorSearch": {"MongoDB Atlas": "https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas"}, "Meilisearch": {"Meilisearch": "https://python.langchain.com/docs/integrations/vectorstores/meilisearch"}, "AsyncChromiumLoader": {"Beautiful Soup": "https://python.langchain.com/docs/integrations/document_transformers/beautiful_soup", "Async Chromium": "https://python.langchain.com/docs/integrations/document_loaders/async_chromium", "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping"}, "BeautifulSoupTransformer": {"Beautiful Soup": "https://python.langchain.com/docs/integrations/document_transformers/beautiful_soup", "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping"}, "NucliaTextTransformer": {"Nuclia Understanding API document transformer": "https://python.langchain.com/docs/integrations/document_transformers/nuclia_transformer"}, "create_metadata_tagger": {"OpenAI Functions Metadata Tagger": "https://python.langchain.com/docs/integrations/document_transformers/openai_metadata_tagger"}, "AsyncHtmlLoader": {"html2text": "https://python.langchain.com/docs/integrations/document_transformers/html2text", "AsyncHtmlLoader": "https://python.langchain.com/docs/integrations/document_loaders/async_html", "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping"}, "Html2TextTransformer": {"html2text": "https://python.langchain.com/docs/integrations/document_transformers/html2text", "Async Chromium": "https://python.langchain.com/docs/integrations/document_loaders/async_chromium", "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping"}, "DoctranPropertyExtractor": {"Doctran Extract Properties": "https://python.langchain.com/docs/integrations/document_transformers/doctran_extract_properties"}, "DoctranQATransformer": {"Doctran Interrogate Documents": "https://python.langchain.com/docs/integrations/document_transformers/doctran_interrogate_document"}, "DoctranTextTranslator": {"Doctran Translate Documents": "https://python.langchain.com/docs/integrations/document_transformers/doctran_translate_document"}, "SnowflakeLoader": {"Snowflake": "https://python.langchain.com/docs/integrations/document_loaders/snowflake"}, "AcreomLoader": {"acreom": "https://python.langchain.com/docs/integrations/document_loaders/acreom"}, "ArcGISLoader": {"ArcGIS": "https://python.langchain.com/docs/integrations/document_loaders/arcgis"}, "UnstructuredCSVLoader": {"CSV": "https://python.langchain.com/docs/integrations/document_loaders/csv"}, "XorbitsLoader": {"Xorbits Pandas DataFrame": "https://python.langchain.com/docs/integrations/document_loaders/xorbits"}, "UnstructuredEmailLoader": {"Email": "https://python.langchain.com/docs/integrations/document_loaders/email"}, "OutlookMessageLoader": {"Email": "https://python.langchain.com/docs/integrations/document_loaders/email"}, "BlockchainDocumentLoader": {"Blockchain": "https://python.langchain.com/docs/integrations/document_loaders/blockchain"}, "BlockchainType": {"Blockchain": "https://python.langchain.com/docs/integrations/document_loaders/blockchain"}, "RecursiveUrlLoader": {"Recursive URL Loader": "https://python.langchain.com/docs/integrations/document_loaders/recursive_url_loader"}, "JoplinLoader": {"Joplin": "https://python.langchain.com/docs/integrations/document_loaders/joplin"}, "AirbyteSalesforceLoader": {"Airbyte Salesforce": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_salesforce"}, "EtherscanLoader": {"Etherscan Loader": "https://python.langchain.com/docs/integrations/document_loaders/Etherscan"}, "AirbyteCDKLoader": {"Airbyte CDK": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_cdk"}, "Docx2txtLoader": {"Microsoft Word": "https://python.langchain.com/docs/integrations/document_loaders/microsoft_word"}, "OpenAIWhisperParser": {"Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio"}, "YoutubeAudioLoader": {"Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio"}, "UnstructuredURLLoader": {"URL": "https://python.langchain.com/docs/integrations/document_loaders/url"}, "SeleniumURLLoader": {"URL": "https://python.langchain.com/docs/integrations/document_loaders/url"}, "PlaywrightURLLoader": {"URL": "https://python.langchain.com/docs/integrations/document_loaders/url"}, "AirbyteStripeLoader": {"Airbyte Stripe": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_stripe"}, "OpenCityDataLoader": {"Geopandas": "https://python.langchain.com/docs/integrations/document_loaders/geopandas", "Open City Data": "https://python.langchain.com/docs/integrations/document_loaders/open_city_data"}, "GeoDataFrameLoader": {"Geopandas": "https://python.langchain.com/docs/integrations/document_loaders/geopandas"}, "OBSFileLoader": {"Huawei OBS File": "https://python.langchain.com/docs/integrations/document_loaders/huawei_obs_file"}, "HuggingFaceDatasetLoader": {"HuggingFace dataset": "https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset"}, "DropboxLoader": {"Dropbox": "https://python.langchain.com/docs/integrations/document_loaders/dropbox"}, "AirbyteTypeformLoader": {"Airbyte Typeform": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_typeform"}, "MHTMLLoader": {"mhtml": "https://python.langchain.com/docs/integrations/document_loaders/mhtml"}, "NewsURLLoader": {"News URL": "https://python.langchain.com/docs/integrations/document_loaders/news"}, "ImageCaptionLoader": {"Image captions": "https://python.langchain.com/docs/integrations/document_loaders/image_captions"}, "UnstructuredRSTLoader": {"RST": "https://python.langchain.com/docs/integrations/document_loaders/rst"}, "ConversationBufferWindowMemory": {"Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "Meta-Prompt": "https://python.langchain.com/docs/use_cases/autonomous_agents/meta_prompt", "Create ChatGPT clone": "https://python.langchain.com/docs/modules/agents/how_to/chatgpt_clone"}, "UnstructuredImageLoader": {"Images": "https://python.langchain.com/docs/integrations/document_loaders/image"}, "NucliaLoader": {"Nuclia Understanding API document loader": "https://python.langchain.com/docs/integrations/document_loaders/nuclia"}, "TencentCOSFileLoader": {"Tencent COS File": "https://python.langchain.com/docs/integrations/document_loaders/tencent_cos_file"}, "TomlLoader": {"TOML": "https://python.langchain.com/docs/integrations/document_loaders/toml"}, "UnstructuredAPIFileLoader": {"Unstructured File": "https://python.langchain.com/docs/integrations/document_loaders/unstructured_file"}, "PsychicLoader": {"Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic"}, "TencentCOSDirectoryLoader": {"Tencent COS Directory": "https://python.langchain.com/docs/integrations/document_loaders/tencent_cos_directory"}, "GitHubIssuesLoader": {"GitHub": "https://python.langchain.com/docs/integrations/document_loaders/github"}, "UnstructuredOrgModeLoader": {"Org-mode": "https://python.langchain.com/docs/integrations/document_loaders/org_mode"}, "LarkSuiteDocLoader": {"LarkSuite (FeiShu)": "https://python.langchain.com/docs/integrations/document_loaders/larksuite"}, "load_summarize_chain": {"LarkSuite (FeiShu)": "https://python.langchain.com/docs/integrations/document_loaders/larksuite", "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching", "Summarization": "https://python.langchain.com/docs/use_cases/summarization"}, "IuguLoader": {"Iugu": "https://python.langchain.com/docs/integrations/document_loaders/iugu"}, "UnstructuredEPubLoader": {"EPub ": "https://python.langchain.com/docs/integrations/document_loaders/epub"}, "AttributeInfo": {"Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami", "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA", "Weaviate self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query", "Elasticsearch self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query", "Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query", "Self-querying with Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone", "Self-querying with MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query", "Deep Lake self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query", "Qdrant self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query"}, "UnstructuredFileIOLoader": {"Google Drive": "https://python.langchain.com/docs/integrations/document_loaders/google_drive"}, "BrowserlessLoader": {"Browserless": "https://python.langchain.com/docs/integrations/document_loaders/browserless"}, "BibtexLoader": {"BibTeX": "https://python.langchain.com/docs/integrations/document_loaders/bibtex"}, "AirbyteHubspotLoader": {"Airbyte Hubspot": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_hubspot"}, "AirbyteGongLoader": {"Airbyte Gong": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_gong"}, "ReadTheDocsLoader": {"ReadTheDocs Documentation": "https://python.langchain.com/docs/integrations/document_loaders/readthedocs_documentation"}, "DataFrameLoader": {"Pandas DataFrame": "https://python.langchain.com/docs/integrations/document_loaders/pandas_dataframe"}, "GoogleApiClient": {"YouTube transcripts": "https://python.langchain.com/docs/integrations/document_loaders/youtube_transcript"}, "ConcurrentLoader": {"Concurrent Loader": "https://python.langchain.com/docs/integrations/document_loaders/concurrent"}, "RSSFeedLoader": {"RSS Feeds": "https://python.langchain.com/docs/integrations/document_loaders/rss"}, "NotebookLoader": {"Jupyter Notebook": "https://python.langchain.com/docs/integrations/document_loaders/jupyter_notebook", "Notebook": "https://python.langchain.com/docs/integrations/document_loaders/example_data/notebook"}, "UnstructuredTSVLoader": {"TSV": "https://python.langchain.com/docs/integrations/document_loaders/tsv"}, "UnstructuredODTLoader": {"Open Document Format (ODT)": "https://python.langchain.com/docs/integrations/document_loaders/odt"}, "EmbaasBlobLoader": {"Embaas": "https://python.langchain.com/docs/integrations/document_loaders/embaas"}, "Blob": {"Embaas": "https://python.langchain.com/docs/integrations/document_loaders/embaas"}, "EmbaasLoader": {"Embaas": "https://python.langchain.com/docs/integrations/document_loaders/embaas"}, "UnstructuredXMLLoader": {"XML": "https://python.langchain.com/docs/integrations/document_loaders/xml"}, "MaxComputeLoader": {"Alibaba Cloud MaxCompute": "https://python.langchain.com/docs/integrations/document_loaders/alibaba_cloud_maxcompute"}, "CubeSemanticLoader": {"Cube Semantic Layer": "https://python.langchain.com/docs/integrations/document_loaders/cube_semantic"}, "UnstructuredExcelLoader": {"Microsoft Excel": "https://python.langchain.com/docs/integrations/document_loaders/excel"}, "Language": {"Source Code": "https://python.langchain.com/docs/integrations/document_loaders/source_code", "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding"}, "LanguageParser": {"Source Code": "https://python.langchain.com/docs/integrations/document_loaders/source_code", "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding"}, "SRTLoader": {"Subtitle": "https://python.langchain.com/docs/integrations/document_loaders/subtitle"}, "MastodonTootsLoader": {"Mastodon": "https://python.langchain.com/docs/integrations/document_loaders/mastodon"}, "AirbyteShopifyLoader": {"Airbyte Shopify": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_shopify"}, "MergedDataLoader": {"MergeDocLoader": "https://python.langchain.com/docs/integrations/document_loaders/merge_doc_loader"}, "PySparkDataFrameLoader": {"PySpark DataFrame Loader": "https://python.langchain.com/docs/integrations/document_loaders/pyspark_dataframe"}, "AirbyteZendeskSupportLoader": {"Airbyte Zendesk Support": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_zendesk_support"}, "CoNLLULoader": {"CoNLL-U": "https://python.langchain.com/docs/integrations/document_loaders/conll-u"}, "OBSDirectoryLoader": {"Huawei OBS Directory": "https://python.langchain.com/docs/integrations/document_loaders/huawei_obs_directory"}, "FaunaLoader": {"Fauna": "https://python.langchain.com/docs/integrations/document_loaders/fauna"}, "SitemapLoader": {"Sitemap": "https://python.langchain.com/docs/integrations/document_loaders/sitemap"}, "StochasticAI": {"StochasticAI": "https://python.langchain.com/docs/integrations/llms/stochasticai"}, "ForefrontAI": {"ForefrontAI": "https://python.langchain.com/docs/integrations/llms/forefrontai_example"}, "CerebriumAI": {"CerebriumAI": "https://python.langchain.com/docs/integrations/llms/cerebriumai_example"}, "FireworksChat": {"Fireworks": "https://python.langchain.com/docs/integrations/llms/Fireworks"}, "OctoAIEndpoint": {"OctoAI Compute Service": "https://python.langchain.com/docs/integrations/llms/octoai"}, "Writer": {"Writer": "https://python.langchain.com/docs/integrations/llms/writer"}, "TextGen": {"TextGen": "https://python.langchain.com/docs/integrations/llms/textgen"}, "MosaicML": {"MosaicML": "https://python.langchain.com/docs/integrations/llms/mosaicml"}, "KoboldApiLLM": {"KoboldAI API": "https://python.langchain.com/docs/integrations/llms/koboldai"}, "VertexAI": {"Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/llms/google_vertex_ai_palm"}, "Ollama": {"Ollama": "https://python.langchain.com/docs/integrations/llms/ollama"}, "LLMResult": {"Ollama": "https://python.langchain.com/docs/integrations/llms/ollama", "Async callbacks": "https://python.langchain.com/docs/modules/callbacks/async_callbacks"}, "BaseCallbackHandler": {"Ollama": "https://python.langchain.com/docs/integrations/llms/ollama", "Custom callback handlers": "https://python.langchain.com/docs/modules/callbacks/custom_callbacks", "Multiple callback handlers": "https://python.langchain.com/docs/modules/callbacks/multiple_callbacks", "Async callbacks": "https://python.langchain.com/docs/modules/callbacks/async_callbacks", "Streaming final agent output": "https://python.langchain.com/docs/modules/agents/how_to/streaming_stdout_final_only"}, "TitanTakeoff": {"Titan Takeoff": "https://python.langchain.com/docs/integrations/llms/titan_takeoff"}, "GooseAI": {"GooseAI": "https://python.langchain.com/docs/integrations/llms/gooseai_example"}, "Databricks": {"Databricks": "https://python.langchain.com/docs/integrations/llms/databricks"}, "EdenAI": {"Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai"}, "VLLM": {"vLLM": "https://python.langchain.com/docs/integrations/llms/vllm"}, "VLLMOpenAI": {"vLLM": "https://python.langchain.com/docs/integrations/llms/vllm"}, "MapReduceChain": {"Manifest": "https://python.langchain.com/docs/integrations/llms/manifest", "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching", "Summarization": "https://python.langchain.com/docs/use_cases/summarization"}, "ModelLaboratory": {"Manifest": "https://python.langchain.com/docs/integrations/llms/manifest", "Model comparison": "https://python.langchain.com/docs/guides/model_laboratory"}, "Tongyi": {"Tongyi Qwen": "https://python.langchain.com/docs/integrations/llms/tongyi"}, "InMemoryCache": {"Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"}, "SQLiteCache": {"Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"}, "GPTCache": {"Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"}, "SQLAlchemyCache": {"Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"}, "AzureMLOnlineEndpoint": {"AzureML Online Endpoint": "https://python.langchain.com/docs/integrations/llms/azureml_endpoint_example"}, "ContentFormatterBase": {"AzureML Online Endpoint": "https://python.langchain.com/docs/integrations/llms/azureml_endpoint_example"}, "DollyContentFormatter": {"AzureML Online Endpoint": "https://python.langchain.com/docs/integrations/llms/azureml_endpoint_example"}, "load_llm": {"AzureML Online Endpoint": "https://python.langchain.com/docs/integrations/llms/azureml_endpoint_example", "Serialization": "https://python.langchain.com/docs/modules/model_io/models/llms/llm_serialization"}, "AzureMLEndpointClient": {"AzureML Online Endpoint": "https://python.langchain.com/docs/integrations/llms/azureml_endpoint_example"}, "OpenLM": {"OpenLM": "https://python.langchain.com/docs/integrations/llms/openlm"}, "HuggingFaceTextGenInference": {"Huggingface TextGen Inference": "https://python.langchain.com/docs/integrations/llms/huggingface_textgen_inference"}, "ChatGLM": {"ChatGLM": "https://python.langchain.com/docs/integrations/llms/chatglm"}, "Replicate": {"Replicate": "https://python.langchain.com/docs/integrations/llms/replicate"}, "StrOutputParser": {"Fallbacks": "https://python.langchain.com/docs/guides/fallbacks", "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"}, "DatetimeOutputParser": {"Fallbacks": "https://python.langchain.com/docs/guides/fallbacks", "Datetime parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/datetime"}, "tracing_v2_enabled": {"LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough"}, "wait_for_all_tracers": {"LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough"}, "EvaluatorType": {"LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough", "Criteria Evaluation": "https://python.langchain.com/docs/guides/evaluation/string/criteria_eval_chain"}, "RunEvalConfig": {"LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough"}, "arun_on_dataset": {"LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough"}, "run_on_dataset": {"LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough"}, "openai": {"OpenAI Adapter": "https://python.langchain.com/docs/guides/adapters/openai"}, "load_evaluator": {"Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons", "Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval", "Pairwise Embedding Distance ": "https://python.langchain.com/docs/guides/evaluation/comparison/pairwise_embedding_distance", "Pairwise String Comparison": "https://python.langchain.com/docs/guides/evaluation/comparison/pairwise_string", "Criteria Evaluation": "https://python.langchain.com/docs/guides/evaluation/string/criteria_eval_chain", "String Distance": "https://python.langchain.com/docs/guides/evaluation/string/string_distance", "Embedding Distance": "https://python.langchain.com/docs/guides/evaluation/string/embedding_distance"}, "load_dataset": {"Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons"}, "AgentAction": {"Custom Trajectory Evaluator": "https://python.langchain.com/docs/guides/evaluation/trajectory/custom", "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval", "Multiple callback handlers": "https://python.langchain.com/docs/modules/callbacks/multiple_callbacks", "Custom multi-action agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_multi_action_agent", "Custom agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent", "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval"}, "AgentTrajectoryEvaluator": {"Custom Trajectory Evaluator": "https://python.langchain.com/docs/guides/evaluation/trajectory/custom"}, "EmbeddingDistance": {"Pairwise Embedding Distance ": "https://python.langchain.com/docs/guides/evaluation/comparison/pairwise_embedding_distance", "Embedding Distance": "https://python.langchain.com/docs/guides/evaluation/string/embedding_distance"}, "PairwiseStringEvaluator": {"Custom Pairwise Evaluator": "https://python.langchain.com/docs/guides/evaluation/comparison/custom"}, "Criteria": {"Criteria Evaluation": "https://python.langchain.com/docs/guides/evaluation/string/criteria_eval_chain"}, "StringEvaluator": {"Custom String Evaluator": "https://python.langchain.com/docs/guides/evaluation/string/custom"}, "StringDistance": {"String Distance": "https://python.langchain.com/docs/guides/evaluation/string/string_distance"}, "JsonOutputFunctionsParser": {"Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"}, "JsonKeyOutputFunctionsParser": {"Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"}, "RunnablePassthrough": {"Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"}, "RunnableMap": {"Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook", "Interface": "https://python.langchain.com/docs/guides/expression_language/interface"}, "format_document": {"Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"}, "create_tagging_chain_pydantic": {"Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook", "Tagging": "https://python.langchain.com/docs/use_cases/tagging"}, "RouterRunnable": {"Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"}, "RunnableLambda": {"Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"}, "MessagesPlaceholder": {"Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents", "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory", "Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions", "Types of `MessagePromptTemplate`": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/msg_prompt_templates"}, "WebResearchRetriever": {"Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"}, "ConversationSummaryMemory": {"Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding", "How to use multiple memory classes in the same chain": "https://python.langchain.com/docs/modules/memory/multiple_memory"}, "ConversationSummaryBufferMemory": {"Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "ConversationSummaryBufferMemory": "https://python.langchain.com/docs/modules/memory/types/summary_buffer"}, "StuffDocumentsChain": {"Summarization": "https://python.langchain.com/docs/use_cases/summarization", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder"}, "ReduceDocumentsChain": {"Summarization": "https://python.langchain.com/docs/use_cases/summarization"}, "MapReduceDocumentsChain": {"Summarization": "https://python.langchain.com/docs/use_cases/summarization"}, "create_extraction_chain_pydantic": {"Extraction": "https://python.langchain.com/docs/use_cases/extraction"}, "PydanticOutputParser": {"Extraction": "https://python.langchain.com/docs/use_cases/extraction", "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research", "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry", "Pydantic (JSON) parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/pydantic"}, "get_openapi_chain": {"Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis"}, "APIChain": {"Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis"}, "open_meteo_docs": {"Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis"}, "tmdb_docs": {"Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis"}, "podcast_docs": {"Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis"}, "LLMRequestsChain": {"Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis"}, "create_sql_query_chain": {"SQL": "https://python.langchain.com/docs/use_cases/sql", "Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval"}, "ElasticsearchDatabaseChain": {"SQL": "https://python.langchain.com/docs/use_cases/sql"}, "FileChatMessageHistory": {"AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt"}, "BaseLLM": {"BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/agents/baby_agi", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context"}, "VectorStore": {"BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/agents/baby_agi", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent"}, "Chain": {"BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/agents/baby_agi", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context", "Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain"}, "BaseTool": {"!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times", "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools", "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore", "Custom functions with OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/custom-functions-with-openai-functions-agent"}, "BaseCombineDocumentsChain": {"!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times"}, "MultiQueryRetriever": {"QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index", "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever"}, "MarkdownHeaderTextSplitter": {"Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA", "MarkdownHeaderTextSplitter": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/markdown_header_metadata"}, "create_retriever_tool": {"Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents"}, "create_conversational_retrieval_agent": {"Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents"}, "AgentTokenBufferMemory": {"Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents"}, "create_citation_fuzzy_match_chain": {"Cite sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/qa_citations"}, "BaseRetriever": {"Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare"}, "AsyncCallbackManagerForRetrieverRun": {"Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare"}, "CallbackManagerForRetrieverRun": {"Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare"}, "FlareChain": {"Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare"}, "HypotheticalDocumentEmbedder": {"Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde"}, "create_qa_with_sources_chain": {"Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa"}, "create_qa_with_structure_chain": {"Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa"}, "LLMSingleActionAgent": {"Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval", "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval"}, "AgentOutputParser": {"Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval", "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval"}, "StringPromptTemplate": {"Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval", "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval", "Custom prompt template": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/custom_prompt_template", "Connecting to a Feature Store": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/connecting_to_a_feature_store"}, "AgentFinish": {"Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval", "Custom multi-action agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_multi_action_agent", "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter", "Custom agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent", "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval"}, "AIPlugin": {"Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval"}, "SteamshipImageGenerationTool": {"Multi-modal outputs: Image & Text": "https://python.langchain.com/docs/use_cases/multi_modal/image_agent"}, "BaseMessage": {"CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/agent_simulations/camel_role_playing", "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_bidding", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian", "Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/multi_player_dnd", "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/agent_simulations/gymnasium", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools"}, "NeptuneGraph": {"Neptune Open Cypher QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/neptune_cypher_qa"}, "NeptuneOpenCypherQAChain": {"Neptune Open Cypher QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/neptune_cypher_qa"}, "NebulaGraphQAChain": {"NebulaGraphQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_nebula_qa"}, "NebulaGraph": {"NebulaGraphQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_nebula_qa"}, "KuzuGraph": {"KuzuQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_kuzu_qa"}, "KuzuQAChain": {"KuzuQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_kuzu_qa"}, "HugeGraphQAChain": {"HugeGraph QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_hugegraph_qa"}, "HugeGraph": {"HugeGraph QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_hugegraph_qa"}, "GraphSparqlQAChain": {"GraphSparqlQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_sparql_qa"}, "RdfGraph": {"GraphSparqlQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_sparql_qa"}, "ArangoGraph": {"ArangoDB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_arangodb_qa"}, "ArangoGraphQAChain": {"ArangoDB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_arangodb_qa"}, "GraphIndexCreator": {"Graph QA": "https://python.langchain.com/docs/use_cases/more/graph/graph_qa"}, "GraphQAChain": {"Graph QA": "https://python.langchain.com/docs/use_cases/more/graph/graph_qa"}, "NetworkxEntityGraph": {"Graph QA": "https://python.langchain.com/docs/use_cases/more/graph/graph_qa"}, "GraphCypherQAChain": {"Graph DB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_cypher_qa"}, "Neo4jGraph": {"Graph DB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_cypher_qa"}, "LLMBashChain": {"Bash chain": "https://python.langchain.com/docs/use_cases/more/code_writing/llm_bash"}, "BashOutputParser": {"Bash chain": "https://python.langchain.com/docs/use_cases/more/code_writing/llm_bash"}, "BashProcess": {"Bash chain": "https://python.langchain.com/docs/use_cases/more/code_writing/llm_bash"}, "LLMSymbolicMathChain": {"LLM Symbolic Math ": "https://python.langchain.com/docs/use_cases/more/code_writing/llm_symbolic_math"}, "LLMSummarizationCheckerChain": {"Summarization checker chain": "https://python.langchain.com/docs/use_cases/more/self_check/llm_summarization_checker"}, "LLMCheckerChain": {"Self-checking chain": "https://python.langchain.com/docs/use_cases/more/self_check/llm_checker"}, "RegexParser": {"Multi-Agent Simulated Environment: Petting Zoo": "https://python.langchain.com/docs/use_cases/agent_simulations/petting_zoo", "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_bidding", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian", "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/agent_simulations/gymnasium"}, "TimeWeightedVectorStoreRetriever": {"Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/agent_simulations/characters"}, "InMemoryStore": {"Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings", "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever"}, "LocalFileStore": {"Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings"}, "RedisStore": {"Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings"}, "CacheBackedEmbeddings": {"Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings"}, "EnsembleRetriever": {"Ensemble Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/ensemble"}, "ParentDocumentRetriever": {"Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever"}, "SentenceTransformersTokenTextSplitter": {"Split by tokens ": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/split_by_token"}, "NLTKTextSplitter": {"Split by tokens ": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/split_by_token"}, "ChatMessageHistory": {"Adding Message Memory backed by a database to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db"}, "BaseMemory": {"How to create a custom Memory class": "https://python.langchain.com/docs/modules/memory/custom_memory"}, "ConversationKGMemory": {"Conversation Knowledge Graph Memory": "https://python.langchain.com/docs/modules/memory/types/kg"}, "ConversationTokenBufferMemory": {"ConversationTokenBufferMemory": "https://python.langchain.com/docs/modules/memory/types/token_buffer"}, "tracing_enabled": {"Multiple callback handlers": "https://python.langchain.com/docs/modules/callbacks/multiple_callbacks"}, "FileCallbackHandler": {"Logging to file": "https://python.langchain.com/docs/modules/callbacks/filecallbackhandler"}, "AsyncCallbackHandler": {"Async callbacks": "https://python.langchain.com/docs/modules/callbacks/async_callbacks"}, "StructuredTool": {"Multi-Input Tools": "https://python.langchain.com/docs/modules/agents/tools/multi_input_tool", "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools"}, "AsyncCallbackManagerForToolRun": {"Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools"}, "CallbackManagerForToolRun": {"Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools"}, "ToolException": {"Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools"}, "format_tool_to_openai_function": {"Tools as OpenAI Functions": "https://python.langchain.com/docs/modules/agents/tools/tools_as_openai_functions"}, "RequestsGetTool": {"Tool Input Schema": "https://python.langchain.com/docs/modules/agents/tools/tool_input_validation"}, "HumanApprovalCallbackHandler": {"Human-in-the-loop Tool Validation": "https://python.langchain.com/docs/modules/agents/tools/human_approval"}, "XMLAgent": {"XML Agent": "https://python.langchain.com/docs/modules/agents/agent_types/xml_agent"}, "DocstoreExplorer": {"ReAct document store": "https://python.langchain.com/docs/modules/agents/agent_types/react_docstore"}, "ReadOnlySharedMemory": {"Shared memory across agents and tools": "https://python.langchain.com/docs/modules/agents/how_to/sharedmemory_for_tools"}, "BaseMultiActionAgent": {"Custom multi-action agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_multi_action_agent"}, "FinalStreamingStdOutCallbackHandler": {"Streaming final agent output": "https://python.langchain.com/docs/modules/agents/how_to/streaming_stdout_final_only"}, "LangChainTracer": {"Async API": "https://python.langchain.com/docs/modules/agents/how_to/async_agent"}, "BaseSingleActionAgent": {"Custom agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent"}, "HumanInputChatModel": {"Human input Chat Model": "https://python.langchain.com/docs/modules/model_io/models/chat/human_input_chat_model"}, "FakeListLLM": {"Fake LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/fake_llm"}, "CallbackManagerForLLMRun": {"Custom LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/custom_llm"}, "LLM": {"Custom LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/custom_llm"}, "HumanInputLLM": {"Human input LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/human_input_llm"}, "OutputFixingParser": {"Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry"}, "RetryOutputParser": {"Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry"}, "RetryWithErrorOutputParser": {"Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry"}, "EnumOutputParser": {"Enum parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/enum"}, "MaxMarginalRelevanceExampleSelector": {"Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr"}, "SemanticSimilarityExampleSelector": {"Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr", "Few shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat"}, "FewShotPromptTemplate": {"Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr", "Select by n-gram overlap": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/ngram_overlap"}, "BaseExampleSelector": {"Custom example selector": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/custom_example_selector"}, "NGramOverlapExampleSelector": {"Select by n-gram overlap": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/ngram_overlap"}, "FewShotChatMessagePromptTemplate": {"Few shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat"}, "load_prompt": {"Serialization": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompt_serialization"}, "ChatMessagePromptTemplate": {"Types of `MessagePromptTemplate`": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/msg_prompt_templates"}, "MultiPromptChain": {"Router": "https://python.langchain.com/docs/modules/chains/foundational/router"}, "LLMRouterChain": {"Router": "https://python.langchain.com/docs/modules/chains/foundational/router"}, "RouterOutputParser": {"Router": "https://python.langchain.com/docs/modules/chains/foundational/router"}, "EmbeddingRouterChain": {"Router": "https://python.langchain.com/docs/modules/chains/foundational/router"}, "BaseLanguageModel": {"Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain"}, "AsyncCallbackManagerForChainRun": {"Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain"}, "CallbackManagerForChainRun": {"Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain"}, "BasePromptTemplate": {"Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain"}, "load_chain": {"Serialization": "https://python.langchain.com/docs/modules/chains/how_to/serialization", "Loading from LangChainHub": "https://python.langchain.com/docs/modules/chains/how_to/from_hub"}, "create_openai_fn_chain": {"Using OpenAI functions": "https://python.langchain.com/docs/modules/chains/how_to/openai_functions"}, "create_structured_output_chain": {"Using OpenAI functions": "https://python.langchain.com/docs/modules/chains/how_to/openai_functions"}}
\ No newline at end of file
+{
+    "HuggingFaceBgeEmbeddings": {
+        "BGE Hugging Face Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/bge_huggingface"
+    },
+    "XinferenceEmbeddings": {
+        "Xorbits inference (Xinference)": "https://python.langchain.com/docs/integrations/text_embedding/xinference"
+    },
+    "DeepInfraEmbeddings": {
+        "DeepInfra": "https://python.langchain.com/docs/integrations/text_embedding/deepinfra"
+    },
+    "HuggingFaceEmbeddings": {
+        "Hugging Face Hub": "https://python.langchain.com/docs/integrations/text_embedding/huggingfacehub",
+        "Sentence Transformers Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/sentence_transformers",
+        "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever",
+        "Hugging Face": "https://python.langchain.com/docs/integrations/providers/huggingface",
+        "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann",
+        "Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy",
+        "Pairwise Embedding Distance ": "https://python.langchain.com/docs/guides/evaluation/comparison/pairwise_embedding_distance",
+        "Embedding Distance": "https://python.langchain.com/docs/guides/evaluation/string/embedding_distance",
+        "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder"
+    },
+    "GPT4AllEmbeddings": {
+        "GPT4All": "https://python.langchain.com/docs/integrations/text_embedding/gpt4all",
+        "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama",
+        "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa",
+        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"
+    },
+    "MosaicMLInstructorEmbeddings": {
+        "MosaicML embeddings": "https://python.langchain.com/docs/integrations/text_embedding/mosaicml"
+    },
+    "OpenAIEmbeddings": {
+        "OpenAI": "https://python.langchain.com/docs/integrations/providers/openai",
+        "AzureOpenAI": "https://python.langchain.com/docs/integrations/text_embedding/azureopenai",
+        "RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase",
+        "Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker",
+        "kNN": "https://python.langchain.com/docs/integrations/retrievers/knn",
+        "DocArray Retriever": "https://python.langchain.com/docs/integrations/retrievers/docarray_retriever",
+        "SVM": "https://python.langchain.com/docs/integrations/retrievers/svm",
+        "Pinecone Hybrid Search": "https://python.langchain.com/docs/integrations/retrievers/pinecone_hybrid_search",
+        "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever",
+        "Azure OpenAI": "https://python.langchain.com/docs/integrations/providers/azure_openai",
+        "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit",
+        "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore",
+        "LanceDB": "https://python.langchain.com/docs/integrations/vectorstores/lancedb",
+        "Weaviate": "https://python.langchain.com/docs/integrations/vectorstores/weaviate",
+        "Xata": "https://python.langchain.com/docs/integrations/vectorstores/xata",
+        "Redis": "https://python.langchain.com/docs/integrations/vectorstores/redis",
+        "PGVector": "https://python.langchain.com/docs/integrations/vectorstores/pgvector",
+        "Rockset": "https://python.langchain.com/docs/integrations/vectorstores/rockset",
+        "Dingo": "https://python.langchain.com/docs/integrations/vectorstores/dingo",
+        "Zilliz": "https://python.langchain.com/docs/integrations/vectorstores/zilliz",
+        "SingleStoreDB": "https://python.langchain.com/docs/integrations/vectorstores/singlestoredb",
+        "Typesense": "https://python.langchain.com/docs/integrations/vectorstores/typesense",
+        "Atlas": "https://python.langchain.com/docs/integrations/vectorstores/atlas",
+        "Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake",
+        "Chroma": "https://python.langchain.com/docs/integrations/vectorstores/chroma",
+        "Alibaba Cloud OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/alibabacloud_opensearch",
+        "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks",
+        "scikit-learn": "https://python.langchain.com/docs/integrations/vectorstores/sklearn",
+        "DocArrayHnswSearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_hnsw",
+        "MyScale": "https://python.langchain.com/docs/integrations/vectorstores/myscale",
+        "ClickHouse Vector Search": "https://python.langchain.com/docs/integrations/vectorstores/clickhouse",
+        "Qdrant": "https://python.langchain.com/docs/integrations/vectorstores/qdrant",
+        "Tigris": "https://python.langchain.com/docs/integrations/vectorstores/tigris",
+        "Supabase (Postgres)": "https://python.langchain.com/docs/integrations/vectorstores/supabase",
+        "OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/opensearch",
+        "Pinecone": "https://python.langchain.com/docs/integrations/vectorstores/pinecone",
+        "Azure Cognitive Search": "https://python.langchain.com/docs/integrations/vectorstores/azuresearch",
+        "Cassandra": "https://python.langchain.com/docs/integrations/vectorstores/cassandra",
+        "USearch": "https://python.langchain.com/docs/integrations/vectorstores/usearch",
+        "Milvus": "https://python.langchain.com/docs/integrations/vectorstores/milvus",
+        "Elasticsearch": "https://python.langchain.com/docs/integrations/vectorstores/elasticsearch",
+        "DocArrayInMemorySearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_in_memory",
+        "pg_embedding": "https://python.langchain.com/docs/integrations/vectorstores/pgembedding",
+        "FAISS": "https://python.langchain.com/docs/integrations/vectorstores/faiss",
+        "AnalyticDB": "https://python.langchain.com/docs/integrations/vectorstores/analyticdb",
+        "Hologres": "https://python.langchain.com/docs/integrations/vectorstores/hologres",
+        "MongoDB Atlas": "https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas",
+        "Meilisearch": "https://python.langchain.com/docs/integrations/vectorstores/meilisearch",
+        "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio",
+        "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic",
+        "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami",
+        "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching",
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
+        "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding",
+        "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt",
+        "BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/agents/baby_agi",
+        "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent",
+        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times",
+        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
+        "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA",
+        "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents",
+        "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation",
+        "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare",
+        "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde",
+        "Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake",
+        "Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake",
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
+        "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat",
+        "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai",
+        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
+        "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval",
+        "Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/agent_simulations/characters",
+        "Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings",
+        "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever",
+        "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever",
+        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research",
+        "Weaviate self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query",
+        "Elasticsearch self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query",
+        "Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query",
+        "Self-querying with Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone",
+        "Self-querying with MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query",
+        "Deep Lake self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query",
+        "Qdrant self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query",
+        "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs",
+        "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore",
+        "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval",
+        "Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr",
+        "Few shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat",
+        "Loading from LangChainHub": "https://python.langchain.com/docs/modules/chains/how_to/from_hub"
+    },
+    "VertexAIEmbeddings": {
+        "Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/text_embedding/google_vertex_ai_palm"
+    },
+    "BedrockEmbeddings": {
+        "Bedrock Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/bedrock",
+        "Bedrock": "https://python.langchain.com/docs/integrations/providers/bedrock"
+    },
+    "LlamaCppEmbeddings": {
+        "Llama-cpp": "https://python.langchain.com/docs/integrations/text_embedding/llamacpp",
+        "Llama.cpp": "https://python.langchain.com/docs/integrations/providers/llamacpp"
+    },
+    "NLPCloudEmbeddings": {
+        "NLP Cloud": "https://python.langchain.com/docs/integrations/text_embedding/nlp_cloud"
+    },
+    "SpacyEmbeddings": {
+        "Spacy Embedding": "https://python.langchain.com/docs/integrations/text_embedding/spacy_embedding"
+    },
+    "HuggingFaceInstructEmbeddings": {
+        "InstructEmbeddings": "https://python.langchain.com/docs/integrations/text_embedding/instruct_embeddings"
+    },
+    "CohereEmbeddings": {
+        "Cohere": "https://python.langchain.com/docs/integrations/providers/cohere",
+        "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs",
+        "Router": "https://python.langchain.com/docs/modules/chains/foundational/router"
+    },
+    "EdenAiEmbeddings": {
+        "EDEN AI": "https://python.langchain.com/docs/integrations/text_embedding/edenai"
+    },
+    "SentenceTransformerEmbeddings": {
+        "Sentence Transformers Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/sentence_transformers",
+        "Chroma": "https://python.langchain.com/docs/integrations/vectorstores/chroma"
+    },
+    "ClarifaiEmbeddings": {
+        "Clarifai": "https://python.langchain.com/docs/integrations/providers/clarifai"
+    },
+    "AwaEmbeddings": {
+        "AwaEmbedding": "https://python.langchain.com/docs/integrations/text_embedding/Awa"
+    },
+    "MiniMaxEmbeddings": {
+        "MiniMax": "https://python.langchain.com/docs/integrations/text_embedding/minimax",
+        "Minimax": "https://python.langchain.com/docs/integrations/providers/minimax"
+    },
+    "FakeEmbeddings": {
+        "Fake Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/fake",
+        "DocArray Retriever": "https://python.langchain.com/docs/integrations/retrievers/docarray_retriever",
+        "Vectara": "https://python.langchain.com/docs/integrations/vectorstores/vectara",
+        "Tair": "https://python.langchain.com/docs/integrations/vectorstores/tair"
+    },
+    "ElasticsearchEmbeddings": {
+        "Elasticsearch": "https://python.langchain.com/docs/integrations/text_embedding/elasticsearch"
+    },
+    "SelfHostedEmbeddings": {
+        "Self Hosted Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/self-hosted"
+    },
+    "SelfHostedHuggingFaceEmbeddings": {
+        "Self Hosted Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/self-hosted"
+    },
+    "SelfHostedHuggingFaceInstructEmbeddings": {
+        "Self Hosted Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/self-hosted"
+    },
+    "EmbaasEmbeddings": {
+        "Embaas": "https://python.langchain.com/docs/integrations/text_embedding/embaas"
+    },
+    "JinaEmbeddings": {
+        "Jina": "https://python.langchain.com/docs/integrations/providers/jina"
+    },
+    "AlephAlphaAsymmetricSemanticEmbedding": {
+        "Aleph Alpha": "https://python.langchain.com/docs/integrations/providers/aleph_alpha"
+    },
+    "AlephAlphaSymmetricSemanticEmbedding": {
+        "Aleph Alpha": "https://python.langchain.com/docs/integrations/providers/aleph_alpha"
+    },
+    "DashScopeEmbeddings": {
+        "DashScope": "https://python.langchain.com/docs/integrations/text_embedding/dashscope",
+        "DashVector": "https://python.langchain.com/docs/integrations/vectorstores/dashvector"
+    },
+    "TensorflowHubEmbeddings": {
+        "TensorflowHub": "https://python.langchain.com/docs/integrations/text_embedding/tensorflowhub",
+        "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann"
+    },
+    "ModelScopeEmbeddings": {
+        "ModelScope": "https://python.langchain.com/docs/integrations/providers/modelscope"
+    },
+    "SagemakerEndpointEmbeddings": {
+        "SageMaker Endpoint Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/sagemaker-endpoint",
+        "SageMaker Endpoint": "https://python.langchain.com/docs/integrations/providers/sagemaker_endpoint"
+    },
+    "EmbeddingsContentHandler": {
+        "SageMaker Endpoint Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/sagemaker-endpoint"
+    },
+    "LocalAIEmbeddings": {
+        "LocalAI": "https://python.langchain.com/docs/integrations/text_embedding/localai"
+    },
+    "WebBaseLoader": {
+        "RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase",
+        "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore",
+        "WebBaseLoader": "https://python.langchain.com/docs/integrations/document_loaders/web_base",
+        "MergeDocLoader": "https://python.langchain.com/docs/integrations/document_loaders/merge_doc_loader",
+        "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "Summarization": "https://python.langchain.com/docs/use_cases/summarization",
+        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
+        "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa",
+        "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever",
+        "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore"
+    },
+    "RecursiveCharacterTextSplitter": {
+        "RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase",
+        "Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker",
+        "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio",
+        "Source Code": "https://python.langchain.com/docs/integrations/document_loaders/source_code",
+        "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama",
+        "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding",
+        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times",
+        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
+        "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA",
+        "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa",
+        "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat",
+        "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever",
+        "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever",
+        "MarkdownHeaderTextSplitter": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/markdown_header_metadata"
+    },
+    "Chroma": {
+        "RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase",
+        "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever",
+        "Chroma": "https://python.langchain.com/docs/integrations/vectorstores/chroma",
+        "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore",
+        "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks",
+        "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic",
+        "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami",
+        "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama",
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
+        "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding",
+        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
+        "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA",
+        "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa",
+        "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation",
+        "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde",
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
+        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
+        "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever",
+        "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever",
+        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research",
+        "Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query",
+        "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder",
+        "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs",
+        "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore",
+        "Few shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat",
+        "Router": "https://python.langchain.com/docs/modules/chains/foundational/router",
+        "Loading from LangChainHub": "https://python.langchain.com/docs/modules/chains/how_to/from_hub"
+    },
+    "ChatOpenAI": {
+        "RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase",
+        "Wikipedia": "https://python.langchain.com/docs/integrations/retrievers/wikipedia",
+        "Arxiv": "https://python.langchain.com/docs/integrations/retrievers/arxiv",
+        "ChatGPT Plugins": "https://python.langchain.com/docs/integrations/tools/chatgpt_plugins",
+        "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools",
+        "ArXiv API Tool": "https://python.langchain.com/docs/integrations/tools/arxiv",
+        "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search",
+        "Shell Tool": "https://python.langchain.com/docs/integrations/tools/bash",
+        "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history",
+        "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai",
+        "Context": "https://python.langchain.com/docs/integrations/callbacks/context",
+        "Label Studio": "https://python.langchain.com/docs/integrations/callbacks/labelstudio",
+        "PromptLayer": "https://python.langchain.com/docs/integrations/callbacks/promptlayer",
+        "CnosDB": "https://python.langchain.com/docs/integrations/providers/cnosdb",
+        "Log10": "https://python.langchain.com/docs/integrations/providers/log10",
+        "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte",
+        "Arthur": "https://python.langchain.com/docs/integrations/providers/arthur_tracking",
+        "CSV Agent": "https://python.langchain.com/docs/integrations/toolkits/csv",
+        "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit",
+        "Python Agent": "https://python.langchain.com/docs/integrations/toolkits/python",
+        "PowerBI Dataset Agent": "https://python.langchain.com/docs/integrations/toolkits/powerbi",
+        "SQL Database Agent": "https://python.langchain.com/docs/integrations/toolkits/sql_database",
+        "Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github",
+        "Spark SQL Agent": "https://python.langchain.com/docs/integrations/toolkits/spark_sql",
+        "Pandas Dataframe Agent": "https://python.langchain.com/docs/integrations/toolkits/pandas",
+        "OpenAI Functions Metadata Tagger": "https://python.langchain.com/docs/integrations/document_transformers/openai_metadata_tagger",
+        "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio",
+        "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma",
+        "Fallbacks": "https://python.langchain.com/docs/guides/fallbacks",
+        "Debugging": "https://python.langchain.com/docs/guides/debugging",
+        "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough",
+        "Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons",
+        "Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval",
+        "Custom Trajectory Evaluator": "https://python.langchain.com/docs/guides/evaluation/trajectory/custom",
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
+        "Interface": "https://python.langchain.com/docs/guides/expression_language/interface",
+        "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "Summarization": "https://python.langchain.com/docs/use_cases/summarization",
+        "Extraction": "https://python.langchain.com/docs/use_cases/extraction",
+        "SQL": "https://python.langchain.com/docs/use_cases/sql",
+        "Tagging": "https://python.langchain.com/docs/use_cases/tagging",
+        "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding",
+        "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt",
+        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times",
+        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
+        "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA",
+        "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents",
+        "Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval",
+        "Cite sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/qa_citations",
+        "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare",
+        "Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake",
+        "Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake",
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
+        "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat",
+        "Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent",
+        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
+        "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/agent_simulations/camel_role_playing",
+        "Neptune Open Cypher QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/neptune_cypher_qa",
+        "NebulaGraphQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_nebula_qa",
+        "KuzuQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_kuzu_qa",
+        "HugeGraph QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_hugegraph_qa",
+        "GraphSparqlQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_sparql_qa",
+        "ArangoDB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_arangodb_qa",
+        "Graph DB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_cypher_qa",
+        "How to use a SmartLLMChain": "https://python.langchain.com/docs/use_cases/more/self_check/smart_llm",
+        "Multi-Agent Simulated Environment: Petting Zoo": "https://python.langchain.com/docs/use_cases/agent_simulations/petting_zoo",
+        "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_bidding",
+        "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian",
+        "Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/agent_simulations/characters",
+        "Two-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/two_player_dnd",
+        "Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/multi_player_dnd",
+        "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/agent_simulations/gymnasium",
+        "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools",
+        "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever",
+        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research",
+        "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory",
+        "Custom callback handlers": "https://python.langchain.com/docs/modules/callbacks/custom_callbacks",
+        "Async callbacks": "https://python.langchain.com/docs/modules/callbacks/async_callbacks",
+        "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools",
+        "Tools as OpenAI Functions": "https://python.langchain.com/docs/modules/agents/tools/tools_as_openai_functions",
+        "OpenAI Multi Functions Agent": "https://python.langchain.com/docs/modules/agents/agent_types/openai_multi_functions_agent",
+        "Handle parsing errors": "https://python.langchain.com/docs/modules/agents/how_to/handle_parsing_errors",
+        "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter",
+        "Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions",
+        "Custom functions with OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/custom-functions-with-openai-functions-agent",
+        "Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions",
+        "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry",
+        "Pydantic (JSON) parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/pydantic",
+        "Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining",
+        "Connecting to a Feature Store": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/connecting_to_a_feature_store",
+        "Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain",
+        "Using OpenAI functions": "https://python.langchain.com/docs/modules/chains/how_to/openai_functions"
+    },
+    "RePhraseQueryRetriever": {
+        "RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase"
+    },
+    "PromptTemplate": {
+        "RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase",
+        "Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier",
+        "Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator",
+        "Streamlit Chat Message History": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history",
+        "Context": "https://python.langchain.com/docs/integrations/callbacks/context",
+        "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla",
+        "Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking",
+        "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking",
+        "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking",
+        "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking",
+        "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff",
+        "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking",
+        "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte",
+        "Vectara Text Generation": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation",
+        "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla",
+        "Predibase": "https://python.langchain.com/docs/integrations/llms/predibase",
+        "Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai",
+        "Fallbacks": "https://python.langchain.com/docs/guides/fallbacks",
+        "Pairwise String Comparison": "https://python.langchain.com/docs/guides/evaluation/comparison/pairwise_string",
+        "Criteria Evaluation": "https://python.langchain.com/docs/guides/evaluation/string/criteria_eval_chain",
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
+        "Summarization": "https://python.langchain.com/docs/use_cases/summarization",
+        "Extraction": "https://python.langchain.com/docs/use_cases/extraction",
+        "Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis",
+        "SQL": "https://python.langchain.com/docs/use_cases/sql",
+        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
+        "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation",
+        "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde",
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
+        "Bash chain": "https://python.langchain.com/docs/use_cases/more/code_writing/llm_bash",
+        "How to use a SmartLLMChain": "https://python.langchain.com/docs/use_cases/more/self_check/smart_llm",
+        "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian",
+        "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools",
+        "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever",
+        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research",
+        "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder",
+        "How to create a custom Memory class": "https://python.langchain.com/docs/modules/memory/custom_memory",
+        "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs",
+        "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory",
+        "How to use multiple memory classes in the same chain": "https://python.langchain.com/docs/modules/memory/multiple_memory",
+        "How to customize conversational memory": "https://python.langchain.com/docs/modules/memory/conversational_customization",
+        "Conversation Knowledge Graph Memory": "https://python.langchain.com/docs/modules/memory/types/kg",
+        "Logging to file": "https://python.langchain.com/docs/modules/callbacks/filecallbackhandler",
+        "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry",
+        "Datetime parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/datetime",
+        "Pydantic (JSON) parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/pydantic",
+        "Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr",
+        "Select by n-gram overlap": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/ngram_overlap",
+        "Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining",
+        "Template Formats": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/formats",
+        "Connecting to a Feature Store": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/connecting_to_a_feature_store",
+        "Router": "https://python.langchain.com/docs/modules/chains/foundational/router",
+        "Transformation": "https://python.langchain.com/docs/modules/chains/foundational/transformation",
+        "Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain",
+        "Async API": "https://python.langchain.com/docs/modules/chains/how_to/async_chain"
+    },
+    "ElasticSearchBM25Retriever": {
+        "ElasticSearch BM25": "https://python.langchain.com/docs/integrations/retrievers/elastic_search_bm25"
+    },
+    "ZepMemory": {
+        "Zep": "https://python.langchain.com/docs/integrations/retrievers/zep_memorystore",
+        "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory"
+    },
+    "CombinedMemory": {
+        "Zep": "https://python.langchain.com/docs/integrations/retrievers/zep_memorystore",
+        "How to use multiple memory classes in the same chain": "https://python.langchain.com/docs/modules/memory/multiple_memory"
+    },
+    "VectorStoreRetrieverMemory": {
+        "Zep": "https://python.langchain.com/docs/integrations/retrievers/zep_memorystore"
+    },
+    "HumanMessage": {
+        "Zep": "https://python.langchain.com/docs/integrations/retrievers/zep_memorystore",
+        "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory",
+        "AzureML Chat Online Endpoint": "https://python.langchain.com/docs/integrations/chat/azureml_chat_endpoint",
+        "Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic",
+        "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm",
+        "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai",
+        "Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/chat/google_vertex_ai_palm",
+        "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat",
+        "Azure": "https://python.langchain.com/docs/integrations/chat/azure_chat_openai",
+        "ERNIE-Bot Chat": "https://python.langchain.com/docs/integrations/chat/ernie",
+        "PromptLayer ChatOpenAI": "https://python.langchain.com/docs/integrations/chat/promptlayer_chatopenai",
+        "Anyscale": "https://python.langchain.com/docs/integrations/chat/anyscale",
+        "Anthropic Functions": "https://python.langchain.com/docs/integrations/chat/anthropic_functions",
+        "Context": "https://python.langchain.com/docs/integrations/callbacks/context",
+        "Label Studio": "https://python.langchain.com/docs/integrations/callbacks/labelstudio",
+        "PromptLayer": "https://python.langchain.com/docs/integrations/callbacks/promptlayer",
+        "Log10": "https://python.langchain.com/docs/integrations/providers/log10",
+        "MLflow AI Gateway": "https://python.langchain.com/docs/integrations/providers/mlflow_ai_gateway",
+        "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte",
+        "Arthur": "https://python.langchain.com/docs/integrations/providers/arthur_tracking",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
+        "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/agent_simulations/camel_role_playing",
+        "Multi-Agent Simulated Environment: Petting Zoo": "https://python.langchain.com/docs/use_cases/agent_simulations/petting_zoo",
+        "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_bidding",
+        "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian",
+        "Two-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/two_player_dnd",
+        "Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/multi_player_dnd",
+        "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/agent_simulations/gymnasium",
+        "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools",
+        "Custom callback handlers": "https://python.langchain.com/docs/modules/callbacks/custom_callbacks",
+        "Async callbacks": "https://python.langchain.com/docs/modules/callbacks/async_callbacks",
+        "Tools as OpenAI Functions": "https://python.langchain.com/docs/modules/agents/tools/tools_as_openai_functions",
+        "Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining",
+        "Using OpenAI functions": "https://python.langchain.com/docs/modules/chains/how_to/openai_functions"
+    },
+    "AIMessage": {
+        "Zep": "https://python.langchain.com/docs/integrations/retrievers/zep_memorystore",
+        "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory",
+        "Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic",
+        "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm",
+        "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai",
+        "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat",
+        "ERNIE-Bot Chat": "https://python.langchain.com/docs/integrations/chat/ernie",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/agent_simulations/camel_role_playing",
+        "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_bidding",
+        "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian",
+        "Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/multi_player_dnd",
+        "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/agent_simulations/gymnasium",
+        "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools",
+        "Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining"
+    },
+    "ZepRetriever": {
+        "Zep": "https://python.langchain.com/docs/integrations/providers/zep",
+        "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory"
+    },
+    "VespaRetriever": {
+        "Vespa": "https://python.langchain.com/docs/integrations/providers/vespa"
+    },
+    "AmazonKendraRetriever": {
+        "Amazon Kendra": "https://python.langchain.com/docs/integrations/retrievers/amazon_kendra_retriever"
+    },
+    "TextLoader": {
+        "Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker",
+        "Elasticsearch": "https://python.langchain.com/docs/integrations/vectorstores/elasticsearch",
+        "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat",
+        "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore",
+        "LanceDB": "https://python.langchain.com/docs/integrations/vectorstores/lancedb",
+        "Weaviate": "https://python.langchain.com/docs/integrations/vectorstores/weaviate",
+        "DashVector": "https://python.langchain.com/docs/integrations/vectorstores/dashvector",
+        "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann",
+        "Xata": "https://python.langchain.com/docs/integrations/vectorstores/xata",
+        "Vectara": "https://python.langchain.com/docs/integrations/vectorstores/vectara",
+        "Redis": "https://python.langchain.com/docs/integrations/vectorstores/redis",
+        "PGVector": "https://python.langchain.com/docs/integrations/vectorstores/pgvector",
+        "Rockset": "https://python.langchain.com/docs/integrations/vectorstores/rockset",
+        "Dingo": "https://python.langchain.com/docs/integrations/vectorstores/dingo",
+        "Zilliz": "https://python.langchain.com/docs/integrations/vectorstores/zilliz",
+        "SingleStoreDB": "https://python.langchain.com/docs/integrations/vectorstores/singlestoredb",
+        "Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy",
+        "Typesense": "https://python.langchain.com/docs/integrations/vectorstores/typesense",
+        "Atlas": "https://python.langchain.com/docs/integrations/vectorstores/atlas",
+        "Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake",
+        "Tair": "https://python.langchain.com/docs/integrations/vectorstores/tair",
+        "Chroma": "https://python.langchain.com/docs/integrations/vectorstores/chroma",
+        "Alibaba Cloud OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/alibabacloud_opensearch",
+        "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks",
+        "Clarifai": "https://python.langchain.com/docs/integrations/vectorstores/clarifai",
+        "scikit-learn": "https://python.langchain.com/docs/integrations/vectorstores/sklearn",
+        "DocArrayHnswSearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_hnsw",
+        "MyScale": "https://python.langchain.com/docs/integrations/vectorstores/myscale",
+        "ClickHouse Vector Search": "https://python.langchain.com/docs/integrations/vectorstores/clickhouse",
+        "Qdrant": "https://python.langchain.com/docs/integrations/vectorstores/qdrant",
+        "Tigris": "https://python.langchain.com/docs/integrations/vectorstores/tigris",
+        "AwaDB": "https://python.langchain.com/docs/integrations/vectorstores/awadb",
+        "Supabase (Postgres)": "https://python.langchain.com/docs/integrations/vectorstores/supabase",
+        "OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/opensearch",
+        "Pinecone": "https://python.langchain.com/docs/integrations/vectorstores/pinecone",
+        "BagelDB": "https://python.langchain.com/docs/integrations/vectorstores/bageldb",
+        "Azure Cognitive Search": "https://python.langchain.com/docs/integrations/vectorstores/azuresearch",
+        "Cassandra": "https://python.langchain.com/docs/integrations/vectorstores/cassandra",
+        "USearch": "https://python.langchain.com/docs/integrations/vectorstores/usearch",
+        "Milvus": "https://python.langchain.com/docs/integrations/vectorstores/milvus",
+        "Marqo": "https://python.langchain.com/docs/integrations/vectorstores/marqo",
+        "DocArrayInMemorySearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_in_memory",
+        "pg_embedding": "https://python.langchain.com/docs/integrations/vectorstores/pgembedding",
+        "FAISS": "https://python.langchain.com/docs/integrations/vectorstores/faiss",
+        "AnalyticDB": "https://python.langchain.com/docs/integrations/vectorstores/analyticdb",
+        "Hologres": "https://python.langchain.com/docs/integrations/vectorstores/hologres",
+        "MongoDB Atlas": "https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas",
+        "Meilisearch": "https://python.langchain.com/docs/integrations/vectorstores/meilisearch",
+        "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents",
+        "Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake",
+        "Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake",
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
+        "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat",
+        "Graph QA": "https://python.langchain.com/docs/use_cases/more/graph/graph_qa",
+        "Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings",
+        "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever",
+        "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore",
+        "Loading from LangChainHub": "https://python.langchain.com/docs/modules/chains/how_to/from_hub"
+    },
+    "FAISS": {
+        "Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker",
+        "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit",
+        "FAISS": "https://python.langchain.com/docs/integrations/vectorstores/faiss",
+        "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio",
+        "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt",
+        "BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/agents/baby_agi",
+        "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent",
+        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times",
+        "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents",
+        "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai",
+        "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval",
+        "Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/agent_simulations/characters",
+        "Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings",
+        "Ensemble Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/ensemble",
+        "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval",
+        "Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr"
+    },
+    "OpenAI": {
+        "Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker",
+        "Google Serper API": "https://python.langchain.com/docs/integrations/tools/google_serper",
+        "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools",
+        "OpenWeatherMap API": "https://python.langchain.com/docs/integrations/tools/openweathermap",
+        "Search Tools": "https://python.langchain.com/docs/integrations/tools/search_tools",
+        "Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier",
+        "Gradio Tools": "https://python.langchain.com/docs/integrations/tools/gradio_tools",
+        "SceneXplain": "https://python.langchain.com/docs/integrations/tools/sceneXplain",
+        "Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator",
+        "Entity Memory with SQLite storage": "https://python.langchain.com/docs/integrations/memory/entity_memory_with_sqlite",
+        "Streamlit Chat Message History": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history",
+        "Label Studio": "https://python.langchain.com/docs/integrations/callbacks/labelstudio",
+        "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla",
+        "PromptLayer": "https://python.langchain.com/docs/integrations/callbacks/promptlayer",
+        "Streamlit": "https://python.langchain.com/docs/integrations/callbacks/.ipynb_checkpoints/streamlit-checkpoint",
+        "Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking",
+        "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking",
+        "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking",
+        "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking",
+        "OpenAI": "https://python.langchain.com/docs/integrations/llms/openai",
+        "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff",
+        "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking",
+        "Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper",
+        "Helicone": "https://python.langchain.com/docs/integrations/providers/helicone",
+        "Shale Protocol": "https://python.langchain.com/docs/integrations/providers/shaleprotocol",
+        "WhyLabs": "https://python.langchain.com/docs/integrations/providers/whylabs_profiling",
+        "WandB Tracing": "https://python.langchain.com/docs/integrations/providers/wandb_tracing",
+        "ClearML": "https://python.langchain.com/docs/integrations/providers/clearml_tracking",
+        "Ray Serve": "https://python.langchain.com/docs/integrations/providers/ray_serve",
+        "Log, Trace, and Monitor Langchain LLM Calls": "https://python.langchain.com/docs/integrations/providers/portkey/logging_tracing_portkey",
+        "Portkey": "https://python.langchain.com/docs/integrations/providers/portkey/index",
+        "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat",
+        "Vectara Text Generation": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation",
+        "CSV Agent": "https://python.langchain.com/docs/integrations/toolkits/csv",
+        "Xorbits Agent": "https://python.langchain.com/docs/integrations/toolkits/xorbits",
+        "Jira": "https://python.langchain.com/docs/integrations/toolkits/jira",
+        "Spark Dataframe Agent": "https://python.langchain.com/docs/integrations/toolkits/spark",
+        "Python Agent": "https://python.langchain.com/docs/integrations/toolkits/python",
+        "SQL Database Agent": "https://python.langchain.com/docs/integrations/toolkits/sql_database",
+        "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla",
+        "JSON Agent": "https://python.langchain.com/docs/integrations/toolkits/json",
+        "Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github",
+        "Pandas Dataframe Agent": "https://python.langchain.com/docs/integrations/toolkits/pandas",
+        "OpenAPI agents": "https://python.langchain.com/docs/integrations/toolkits/openapi",
+        "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic",
+        "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami",
+        "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching",
+        "Fallbacks": "https://python.langchain.com/docs/guides/fallbacks",
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "Extraction": "https://python.langchain.com/docs/use_cases/extraction",
+        "Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis",
+        "SQL": "https://python.langchain.com/docs/use_cases/sql",
+        "HuggingGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/hugginggpt",
+        "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA",
+        "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation",
+        "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare",
+        "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde",
+        "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat",
+        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
+        "Graph QA": "https://python.langchain.com/docs/use_cases/more/graph/graph_qa",
+        "Tree of Thought (ToT) example": "https://python.langchain.com/docs/use_cases/more/graph/tot",
+        "Bash chain": "https://python.langchain.com/docs/use_cases/more/code_writing/llm_bash",
+        "LLM Symbolic Math ": "https://python.langchain.com/docs/use_cases/more/code_writing/llm_symbolic_math",
+        "Summarization checker chain": "https://python.langchain.com/docs/use_cases/more/self_check/llm_summarization_checker",
+        "Self-checking chain": "https://python.langchain.com/docs/use_cases/more/self_check/llm_checker",
+        "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools",
+        "Weaviate self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query",
+        "Elasticsearch self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query",
+        "Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query",
+        "Self-querying with Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone",
+        "Self-querying with MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query",
+        "Deep Lake self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query",
+        "Qdrant self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query",
+        "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder",
+        "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs",
+        "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory",
+        "How to use multiple memory classes in the same chain": "https://python.langchain.com/docs/modules/memory/multiple_memory",
+        "How to customize conversational memory": "https://python.langchain.com/docs/modules/memory/conversational_customization",
+        "Conversation Knowledge Graph Memory": "https://python.langchain.com/docs/modules/memory/types/kg",
+        "ConversationTokenBufferMemory": "https://python.langchain.com/docs/modules/memory/types/token_buffer",
+        "ConversationSummaryBufferMemory": "https://python.langchain.com/docs/modules/memory/types/summary_buffer",
+        "Multiple callback handlers": "https://python.langchain.com/docs/modules/callbacks/multiple_callbacks",
+        "Token counting": "https://python.langchain.com/docs/modules/callbacks/token_counting",
+        "Logging to file": "https://python.langchain.com/docs/modules/callbacks/filecallbackhandler",
+        "Multi-Input Tools": "https://python.langchain.com/docs/modules/agents/tools/multi_input_tool",
+        "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools",
+        "Tool Input Schema": "https://python.langchain.com/docs/modules/agents/tools/tool_input_validation",
+        "Human-in-the-loop Tool Validation": "https://python.langchain.com/docs/modules/agents/tools/human_approval",
+        "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore",
+        "Access intermediate steps": "https://python.langchain.com/docs/modules/agents/how_to/intermediate_steps",
+        "Timeouts for agents": "https://python.langchain.com/docs/modules/agents/how_to/max_time_limit",
+        "Streaming final agent output": "https://python.langchain.com/docs/modules/agents/how_to/streaming_stdout_final_only",
+        "Cap the max number of iterations": "https://python.langchain.com/docs/modules/agents/how_to/max_iterations",
+        "Async API": "https://python.langchain.com/docs/modules/chains/how_to/async_chain",
+        "Tracking token usage": "https://python.langchain.com/docs/modules/model_io/models/llms/token_usage_tracking",
+        "Serialization": "https://python.langchain.com/docs/modules/model_io/models/llms/llm_serialization",
+        "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry",
+        "Datetime parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/datetime",
+        "Pydantic (JSON) parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/pydantic",
+        "Router": "https://python.langchain.com/docs/modules/chains/foundational/router",
+        "Transformation": "https://python.langchain.com/docs/modules/chains/foundational/transformation"
+    },
+    "ContextualCompressionRetriever": {
+        "Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker",
+        "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever"
+    },
+    "CohereRerank": {
+        "Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker",
+        "Cohere": "https://python.langchain.com/docs/integrations/providers/cohere"
+    },
+    "RetrievalQA": {
+        "Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker",
+        "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit",
+        "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann",
+        "Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake",
+        "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks",
+        "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio",
+        "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami",
+        "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama",
+        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
+        "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA",
+        "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa",
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
+        "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat",
+        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
+        "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore"
+    },
+    "KNNRetriever": {
+        "kNN": "https://python.langchain.com/docs/integrations/retrievers/knn"
+    },
+    "WikipediaRetriever": {
+        "Wikipedia": "https://python.langchain.com/docs/integrations/providers/wikipedia"
+    },
+    "ConversationalRetrievalChain": {
+        "Wikipedia": "https://python.langchain.com/docs/integrations/retrievers/wikipedia",
+        "Arxiv": "https://python.langchain.com/docs/integrations/retrievers/arxiv",
+        "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding",
+        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
+        "Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake",
+        "Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake",
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
+        "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat"
+    },
+    "MetalRetriever": {
+        "Metal": "https://python.langchain.com/docs/integrations/providers/metal"
+    },
+    "CSVLoader": {
+        "ChatGPT Plugin": "https://python.langchain.com/docs/integrations/retrievers/chatgpt-plugin",
+        "CSV": "https://python.langchain.com/docs/integrations/document_loaders/csv"
+    },
+    "Document": {
+        "ChatGPT Plugin": "https://python.langchain.com/docs/integrations/retrievers/chatgpt-plugin",
+        "Weaviate Hybrid Search": "https://python.langchain.com/docs/integrations/retrievers/weaviate-hybrid",
+        "BM25": "https://python.langchain.com/docs/integrations/retrievers/bm25",
+        "TF-IDF": "https://python.langchain.com/docs/integrations/retrievers/tf_idf",
+        "Apify": "https://python.langchain.com/docs/integrations/tools/apify",
+        "Vectara Text Generation": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation",
+        "PGVector": "https://python.langchain.com/docs/integrations/vectorstores/pgvector",
+        "Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy",
+        "pg_embedding": "https://python.langchain.com/docs/integrations/vectorstores/pgembedding",
+        "FAISS": "https://python.langchain.com/docs/integrations/vectorstores/faiss",
+        "Nuclia Understanding API document transformer": "https://python.langchain.com/docs/integrations/document_transformers/nuclia_transformer",
+        "OpenAI Functions Metadata Tagger": "https://python.langchain.com/docs/integrations/document_transformers/openai_metadata_tagger",
+        "Doctran Extract Properties": "https://python.langchain.com/docs/integrations/document_transformers/doctran_extract_properties",
+        "Doctran Interrogate Documents": "https://python.langchain.com/docs/integrations/document_transformers/doctran_interrogate_document",
+        "Doctran Translate Documents": "https://python.langchain.com/docs/integrations/document_transformers/doctran_translate_document",
+        "TensorFlow Datasets": "https://python.langchain.com/docs/integrations/document_loaders/tensorflow_datasets",
+        "Airbyte Salesforce": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_salesforce",
+        "Airbyte CDK": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_cdk",
+        "Airbyte Stripe": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_stripe",
+        "Copy Paste": "https://python.langchain.com/docs/integrations/document_loaders/copypaste",
+        "Airbyte Typeform": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_typeform",
+        "Apify Dataset": "https://python.langchain.com/docs/integrations/document_loaders/apify_dataset",
+        "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami",
+        "Airbyte Hubspot": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_hubspot",
+        "Airbyte Gong": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_gong",
+        "Airbyte Shopify": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_shopify",
+        "Airbyte Zendesk Support": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_zendesk_support",
+        "SageMakerEndpoint": "https://python.langchain.com/docs/integrations/llms/sagemaker",
+        "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching",
+        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times",
+        "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation",
+        "Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval",
+        "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare",
+        "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai",
+        "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval",
+        "Weaviate self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query",
+        "Elasticsearch self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query",
+        "Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query",
+        "Self-querying with Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone",
+        "Self-querying with MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query",
+        "Deep Lake self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query",
+        "Qdrant self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query",
+        "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs",
+        "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval"
+    },
+    "ChatGPTPluginRetriever": {
+        "ChatGPT Plugin": "https://python.langchain.com/docs/integrations/retrievers/chatgpt-plugin",
+        "OpenAI": "https://python.langchain.com/docs/integrations/providers/openai"
+    },
+    "GoogleCloudEnterpriseSearchRetriever": {
+        "Google Cloud Enterprise Search": "https://python.langchain.com/docs/integrations/retrievers/google_cloud_enterprise_search"
+    },
+    "DocArrayRetriever": {
+        "DocArray Retriever": "https://python.langchain.com/docs/integrations/retrievers/docarray_retriever"
+    },
+    "SVMRetriever": {
+        "SVM": "https://python.langchain.com/docs/integrations/retrievers/svm",
+        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index"
+    },
+    "PineconeHybridSearchRetriever": {
+        "Pinecone Hybrid Search": "https://python.langchain.com/docs/integrations/retrievers/pinecone_hybrid_search"
+    },
+    "PubMedRetriever": {
+        "PubMed": "https://python.langchain.com/docs/integrations/providers/pubmed"
+    },
+    "WeaviateHybridSearchRetriever": {
+        "Weaviate Hybrid Search": "https://python.langchain.com/docs/integrations/retrievers/weaviate-hybrid"
+    },
+    "ArxivRetriever": {
+        "Arxiv": "https://python.langchain.com/docs/integrations/providers/arxiv"
+    },
+    "BM25Retriever": {
+        "BM25": "https://python.langchain.com/docs/integrations/retrievers/bm25",
+        "Ensemble Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/ensemble"
+    },
+    "AzureCognitiveSearchRetriever": {
+        "Azure Cognitive Search": "https://python.langchain.com/docs/integrations/providers/azure_cognitive_search_"
+    },
+    "ChaindeskRetriever": {
+        "Chaindesk": "https://python.langchain.com/docs/integrations/providers/chaindesk"
+    },
+    "MergerRetriever": {
+        "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever"
+    },
+    "EmbeddingsRedundantFilter": {
+        "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever"
+    },
+    "EmbeddingsClusteringFilter": {
+        "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever"
+    },
+    "DocumentCompressorPipeline": {
+        "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever"
+    },
+    "LongContextReorder": {
+        "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever",
+        "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder"
+    },
+    "TFIDFRetriever": {
+        "TF-IDF": "https://python.langchain.com/docs/integrations/retrievers/tf_idf"
+    },
+    "load_tools": {
+        "ChatGPT Plugins": "https://python.langchain.com/docs/integrations/tools/chatgpt_plugins",
+        "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools",
+        "AWS Lambda API": "https://python.langchain.com/docs/integrations/tools/awslambda",
+        "Requests": "https://python.langchain.com/docs/integrations/tools/requests",
+        "OpenWeatherMap API": "https://python.langchain.com/docs/integrations/tools/openweathermap",
+        "Search Tools": "https://python.langchain.com/docs/integrations/tools/search_tools",
+        "ArXiv API Tool": "https://python.langchain.com/docs/integrations/tools/arxiv",
+        "GraphQL tool": "https://python.langchain.com/docs/integrations/tools/graphql",
+        "SceneXplain": "https://python.langchain.com/docs/integrations/tools/sceneXplain",
+        "Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator",
+        "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla",
+        "Streamlit": "https://python.langchain.com/docs/integrations/callbacks/.ipynb_checkpoints/streamlit-checkpoint",
+        "SerpAPI": "https://python.langchain.com/docs/integrations/providers/serpapi",
+        "Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking",
+        "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking",
+        "Golden": "https://python.langchain.com/docs/integrations/providers/golden",
+        "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking",
+        "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking",
+        "Wolfram Alpha": "https://python.langchain.com/docs/integrations/providers/wolfram_alpha",
+        "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking",
+        "DataForSEO": "https://python.langchain.com/docs/integrations/providers/dataforseo",
+        "SearxNG Search API": "https://python.langchain.com/docs/integrations/providers/searx",
+        "Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper",
+        "OpenWeatherMap": "https://python.langchain.com/docs/integrations/providers/openweathermap",
+        "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte",
+        "WandB Tracing": "https://python.langchain.com/docs/integrations/providers/wandb_tracing",
+        "ClearML": "https://python.langchain.com/docs/integrations/providers/clearml_tracking",
+        "Google Search": "https://python.langchain.com/docs/integrations/providers/google_search",
+        "Log, Trace, and Monitor Langchain LLM Calls": "https://python.langchain.com/docs/integrations/providers/portkey/logging_tracing_portkey",
+        "Portkey": "https://python.langchain.com/docs/integrations/providers/portkey/index",
+        "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor",
+        "Amazon API Gateway": "https://python.langchain.com/docs/integrations/llms/amazon_api_gateway_example",
+        "Debugging": "https://python.langchain.com/docs/guides/debugging",
+        "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough",
+        "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools",
+        "Multiple callback handlers": "https://python.langchain.com/docs/modules/callbacks/multiple_callbacks",
+        "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools",
+        "Human-in-the-loop Tool Validation": "https://python.langchain.com/docs/modules/agents/tools/human_approval",
+        "Access intermediate steps": "https://python.langchain.com/docs/modules/agents/how_to/intermediate_steps",
+        "Timeouts for agents": "https://python.langchain.com/docs/modules/agents/how_to/max_time_limit",
+        "Streaming final agent output": "https://python.langchain.com/docs/modules/agents/how_to/streaming_stdout_final_only",
+        "Cap the max number of iterations": "https://python.langchain.com/docs/modules/agents/how_to/max_iterations",
+        "Async API": "https://python.langchain.com/docs/modules/agents/how_to/async_agent",
+        "Human input Chat Model": "https://python.langchain.com/docs/modules/model_io/models/chat/human_input_chat_model",
+        "Fake LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/fake_llm",
+        "Tracking token usage": "https://python.langchain.com/docs/modules/model_io/models/llms/token_usage_tracking",
+        "Human input LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/human_input_llm"
+    },
+    "initialize_agent": {
+        "ChatGPT Plugins": "https://python.langchain.com/docs/integrations/tools/chatgpt_plugins",
+        "Google Serper API": "https://python.langchain.com/docs/integrations/tools/google_serper",
+        "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools",
+        "AWS Lambda API": "https://python.langchain.com/docs/integrations/tools/awslambda",
+        "OpenWeatherMap API": "https://python.langchain.com/docs/integrations/tools/openweathermap",
+        "Search Tools": "https://python.langchain.com/docs/integrations/tools/search_tools",
+        "Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier",
+        "ArXiv API Tool": "https://python.langchain.com/docs/integrations/tools/arxiv",
+        "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search",
+        "GraphQL tool": "https://python.langchain.com/docs/integrations/tools/graphql",
+        "Gradio Tools": "https://python.langchain.com/docs/integrations/tools/gradio_tools",
+        "SceneXplain": "https://python.langchain.com/docs/integrations/tools/sceneXplain",
+        "Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator",
+        "Shell Tool": "https://python.langchain.com/docs/integrations/tools/bash",
+        "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory",
+        "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history",
+        "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla",
+        "Streamlit": "https://python.langchain.com/docs/integrations/callbacks/.ipynb_checkpoints/streamlit-checkpoint",
+        "Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking",
+        "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking",
+        "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking",
+        "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking",
+        "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking",
+        "Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper",
+        "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte",
+        "WandB Tracing": "https://python.langchain.com/docs/integrations/providers/wandb_tracing",
+        "ClearML": "https://python.langchain.com/docs/integrations/providers/clearml_tracking",
+        "Log, Trace, and Monitor Langchain LLM Calls": "https://python.langchain.com/docs/integrations/providers/portkey/logging_tracing_portkey",
+        "Portkey": "https://python.langchain.com/docs/integrations/providers/portkey/index",
+        "Jira": "https://python.langchain.com/docs/integrations/toolkits/jira",
+        "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit",
+        "Azure Cognitive Services Toolkit": "https://python.langchain.com/docs/integrations/toolkits/azure_cognitive_services",
+        "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla",
+        "Gmail Toolkit": "https://python.langchain.com/docs/integrations/toolkits/gmail",
+        "Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github",
+        "PlayWright Browser Toolkit": "https://python.langchain.com/docs/integrations/toolkits/playwright",
+        "Office365 Toolkit": "https://python.langchain.com/docs/integrations/toolkits/office365",
+        "MultiOn Toolkit": "https://python.langchain.com/docs/integrations/toolkits/multion",
+        "Amadeus Toolkit": "https://python.langchain.com/docs/integrations/toolkits/amadeus",
+        "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor",
+        "Amazon API Gateway": "https://python.langchain.com/docs/integrations/llms/amazon_api_gateway_example",
+        "Debugging": "https://python.langchain.com/docs/guides/debugging",
+        "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough",
+        "Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons",
+        "Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval",
+        "Multi-modal outputs: Image & Text": "https://python.langchain.com/docs/use_cases/multi_modal/image_agent",
+        "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools",
+        "Multiple callback handlers": "https://python.langchain.com/docs/modules/callbacks/multiple_callbacks",
+        "Multi-Input Tools": "https://python.langchain.com/docs/modules/agents/tools/multi_input_tool",
+        "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools",
+        "Tool Input Schema": "https://python.langchain.com/docs/modules/agents/tools/tool_input_validation",
+        "Human-in-the-loop Tool Validation": "https://python.langchain.com/docs/modules/agents/tools/human_approval",
+        "Self ask with search": "https://python.langchain.com/docs/modules/agents/agent_types/self_ask_with_search",
+        "ReAct document store": "https://python.langchain.com/docs/modules/agents/agent_types/react_docstore",
+        "OpenAI Multi Functions Agent": "https://python.langchain.com/docs/modules/agents/agent_types/openai_multi_functions_agent",
+        "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore",
+        "Access intermediate steps": "https://python.langchain.com/docs/modules/agents/how_to/intermediate_steps",
+        "Handle parsing errors": "https://python.langchain.com/docs/modules/agents/how_to/handle_parsing_errors",
+        "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter",
+        "Timeouts for agents": "https://python.langchain.com/docs/modules/agents/how_to/max_time_limit",
+        "Streaming final agent output": "https://python.langchain.com/docs/modules/agents/how_to/streaming_stdout_final_only",
+        "Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions",
+        "Cap the max number of iterations": "https://python.langchain.com/docs/modules/agents/how_to/max_iterations",
+        "Custom functions with OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/custom-functions-with-openai-functions-agent",
+        "Async API": "https://python.langchain.com/docs/modules/agents/how_to/async_agent",
+        "Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions",
+        "Human input Chat Model": "https://python.langchain.com/docs/modules/model_io/models/chat/human_input_chat_model",
+        "Fake LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/fake_llm",
+        "Tracking token usage": "https://python.langchain.com/docs/modules/model_io/models/llms/token_usage_tracking",
+        "Human input LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/human_input_llm"
+    },
+    "AgentType": {
+        "ChatGPT Plugins": "https://python.langchain.com/docs/integrations/tools/chatgpt_plugins",
+        "Google Serper API": "https://python.langchain.com/docs/integrations/tools/google_serper",
+        "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools",
+        "AWS Lambda API": "https://python.langchain.com/docs/integrations/tools/awslambda",
+        "OpenWeatherMap API": "https://python.langchain.com/docs/integrations/tools/openweathermap",
+        "Search Tools": "https://python.langchain.com/docs/integrations/tools/search_tools",
+        "Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier",
+        "ArXiv API Tool": "https://python.langchain.com/docs/integrations/tools/arxiv",
+        "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search",
+        "GraphQL tool": "https://python.langchain.com/docs/integrations/tools/graphql",
+        "Shell Tool": "https://python.langchain.com/docs/integrations/tools/bash",
+        "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory",
+        "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history",
+        "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla",
+        "Streamlit": "https://python.langchain.com/docs/integrations/callbacks/.ipynb_checkpoints/streamlit-checkpoint",
+        "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking",
+        "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking",
+        "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking",
+        "Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper",
+        "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte",
+        "WandB Tracing": "https://python.langchain.com/docs/integrations/providers/wandb_tracing",
+        "ClearML": "https://python.langchain.com/docs/integrations/providers/clearml_tracking",
+        "Log, Trace, and Monitor Langchain LLM Calls": "https://python.langchain.com/docs/integrations/providers/portkey/logging_tracing_portkey",
+        "Portkey": "https://python.langchain.com/docs/integrations/providers/portkey/index",
+        "CSV Agent": "https://python.langchain.com/docs/integrations/toolkits/csv",
+        "Jira": "https://python.langchain.com/docs/integrations/toolkits/jira",
+        "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit",
+        "Python Agent": "https://python.langchain.com/docs/integrations/toolkits/python",
+        "Azure Cognitive Services Toolkit": "https://python.langchain.com/docs/integrations/toolkits/azure_cognitive_services",
+        "SQL Database Agent": "https://python.langchain.com/docs/integrations/toolkits/sql_database",
+        "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla",
+        "Gmail Toolkit": "https://python.langchain.com/docs/integrations/toolkits/gmail",
+        "Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github",
+        "PlayWright Browser Toolkit": "https://python.langchain.com/docs/integrations/toolkits/playwright",
+        "Office365 Toolkit": "https://python.langchain.com/docs/integrations/toolkits/office365",
+        "Pandas Dataframe Agent": "https://python.langchain.com/docs/integrations/toolkits/pandas",
+        "MultiOn Toolkit": "https://python.langchain.com/docs/integrations/toolkits/multion",
+        "Amadeus Toolkit": "https://python.langchain.com/docs/integrations/toolkits/amadeus",
+        "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor",
+        "Amazon API Gateway": "https://python.langchain.com/docs/integrations/llms/amazon_api_gateway_example",
+        "Debugging": "https://python.langchain.com/docs/guides/debugging",
+        "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough",
+        "Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons",
+        "Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval",
+        "SQL": "https://python.langchain.com/docs/use_cases/sql",
+        "Multi-modal outputs: Image & Text": "https://python.langchain.com/docs/use_cases/multi_modal/image_agent",
+        "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools",
+        "Multiple callback handlers": "https://python.langchain.com/docs/modules/callbacks/multiple_callbacks",
+        "Multi-Input Tools": "https://python.langchain.com/docs/modules/agents/tools/multi_input_tool",
+        "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools",
+        "Tool Input Schema": "https://python.langchain.com/docs/modules/agents/tools/tool_input_validation",
+        "Human-in-the-loop Tool Validation": "https://python.langchain.com/docs/modules/agents/tools/human_approval",
+        "Self ask with search": "https://python.langchain.com/docs/modules/agents/agent_types/self_ask_with_search",
+        "ReAct document store": "https://python.langchain.com/docs/modules/agents/agent_types/react_docstore",
+        "OpenAI Multi Functions Agent": "https://python.langchain.com/docs/modules/agents/agent_types/openai_multi_functions_agent",
+        "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore",
+        "Access intermediate steps": "https://python.langchain.com/docs/modules/agents/how_to/intermediate_steps",
+        "Handle parsing errors": "https://python.langchain.com/docs/modules/agents/how_to/handle_parsing_errors",
+        "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter",
+        "Timeouts for agents": "https://python.langchain.com/docs/modules/agents/how_to/max_time_limit",
+        "Streaming final agent output": "https://python.langchain.com/docs/modules/agents/how_to/streaming_stdout_final_only",
+        "Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions",
+        "Cap the max number of iterations": "https://python.langchain.com/docs/modules/agents/how_to/max_iterations",
+        "Custom functions with OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/custom-functions-with-openai-functions-agent",
+        "Async API": "https://python.langchain.com/docs/modules/agents/how_to/async_agent",
+        "Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions",
+        "Human input Chat Model": "https://python.langchain.com/docs/modules/model_io/models/chat/human_input_chat_model",
+        "Fake LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/fake_llm",
+        "Tracking token usage": "https://python.langchain.com/docs/modules/model_io/models/llms/token_usage_tracking",
+        "Human input LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/human_input_llm"
+    },
+    "AIPluginTool": {
+        "ChatGPT Plugins": "https://python.langchain.com/docs/integrations/tools/chatgpt_plugins"
+    },
+    "DataForSeoAPIWrapper": {
+        "DataForSeo API Wrapper": "https://python.langchain.com/docs/integrations/tools/dataforseo",
+        "DataForSEO": "https://python.langchain.com/docs/integrations/providers/dataforseo"
+    },
+    "Tool": {
+        "DataForSeo API Wrapper": "https://python.langchain.com/docs/integrations/tools/dataforseo",
+        "Google Serper API": "https://python.langchain.com/docs/integrations/tools/google_serper",
+        "SerpAPI": "https://python.langchain.com/docs/integrations/tools/serpapi",
+        "Google Search": "https://python.langchain.com/docs/integrations/tools/google_search",
+        "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory",
+        "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history",
+        "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking",
+        "Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper",
+        "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit",
+        "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla",
+        "Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github",
+        "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor",
+        "Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons",
+        "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt",
+        "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent",
+        "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai",
+        "Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent",
+        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
+        "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval",
+        "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools",
+        "Adding Message Memory backed by a database to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db",
+        "How to add Memory to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory",
+        "Multi-Input Tools": "https://python.langchain.com/docs/modules/agents/tools/multi_input_tool",
+        "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools",
+        "Self ask with search": "https://python.langchain.com/docs/modules/agents/agent_types/self_ask_with_search",
+        "ReAct document store": "https://python.langchain.com/docs/modules/agents/agent_types/react_docstore",
+        "OpenAI Multi Functions Agent": "https://python.langchain.com/docs/modules/agents/agent_types/openai_multi_functions_agent",
+        "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore",
+        "Custom MRKL agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent",
+        "Handle parsing errors": "https://python.langchain.com/docs/modules/agents/how_to/handle_parsing_errors",
+        "Shared memory across agents and tools": "https://python.langchain.com/docs/modules/agents/how_to/sharedmemory_for_tools",
+        "Custom multi-action agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_multi_action_agent",
+        "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter",
+        "Timeouts for agents": "https://python.langchain.com/docs/modules/agents/how_to/max_time_limit",
+        "Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions",
+        "Cap the max number of iterations": "https://python.langchain.com/docs/modules/agents/how_to/max_iterations",
+        "Custom agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent",
+        "Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions",
+        "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval"
+    },
+    "SearxSearchWrapper": {
+        "SearxNG Search API": "https://python.langchain.com/docs/integrations/providers/searx"
+    },
+    "GoogleSerperAPIWrapper": {
+        "Google Serper API": "https://python.langchain.com/docs/integrations/tools/google_serper",
+        "Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper",
+        "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare"
+    },
+    "GooglePlacesTool": {
+        "Google Places": "https://python.langchain.com/docs/integrations/tools/google_places"
+    },
+    "HumanInputRun": {
+        "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools",
+        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times"
+    },
+    "NucliaUnderstandingAPI": {
+        "Nuclia Understanding API tool": "https://python.langchain.com/docs/integrations/tools/nuclia",
+        "Nuclia Understanding API document transformer": "https://python.langchain.com/docs/integrations/document_transformers/nuclia_transformer",
+        "Nuclia Understanding API document loader": "https://python.langchain.com/docs/integrations/document_loaders/nuclia"
+    },
+    "TwilioAPIWrapper": {
+        "Twilio": "https://python.langchain.com/docs/integrations/tools/twilio"
+    },
+    "IFTTTWebhook": {
+        "IFTTT WebHooks": "https://python.langchain.com/docs/integrations/tools/ifttt"
+    },
+    "WikipediaQueryRun": {
+        "Wikipedia": "https://python.langchain.com/docs/integrations/tools/wikipedia"
+    },
+    "WikipediaAPIWrapper": {
+        "Wikipedia": "https://python.langchain.com/docs/integrations/tools/wikipedia",
+        "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory"
+    },
+    "AlphaVantageAPIWrapper": {
+        "Alpha Vantage": "https://python.langchain.com/docs/integrations/tools/alpha_vantage"
+    },
+    "TextRequestsWrapper": {
+        "Requests": "https://python.langchain.com/docs/integrations/tools/requests",
+        "JSON Agent": "https://python.langchain.com/docs/integrations/toolkits/json",
+        "OpenAPI agents": "https://python.langchain.com/docs/integrations/toolkits/openapi",
+        "Tool Input Schema": "https://python.langchain.com/docs/modules/agents/tools/tool_input_validation"
+    },
+    "OpenWeatherMapAPIWrapper": {
+        "OpenWeatherMap API": "https://python.langchain.com/docs/integrations/tools/openweathermap",
+        "OpenWeatherMap": "https://python.langchain.com/docs/integrations/providers/openweathermap"
+    },
+    "PubmedQueryRun": {
+        "PubMed Tool": "https://python.langchain.com/docs/integrations/tools/pubmed"
+    },
+    "YouTubeSearchTool": {
+        "YouTubeSearchTool": "https://python.langchain.com/docs/integrations/tools/youtube"
+    },
+    "VectorstoreIndexCreator": {
+        "Apify": "https://python.langchain.com/docs/integrations/tools/apify",
+        "HuggingFace dataset": "https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset",
+        "Spreedly": "https://python.langchain.com/docs/integrations/document_loaders/spreedly",
+        "Image captions": "https://python.langchain.com/docs/integrations/document_loaders/image_captions",
+        "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma",
+        "Apify Dataset": "https://python.langchain.com/docs/integrations/document_loaders/apify_dataset",
+        "Iugu": "https://python.langchain.com/docs/integrations/document_loaders/iugu",
+        "Stripe": "https://python.langchain.com/docs/integrations/document_loaders/stripe",
+        "Modern Treasury": "https://python.langchain.com/docs/integrations/document_loaders/modern_treasury",
+        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
+        "Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval"
+    },
+    "ZapierToolkit": {
+        "Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier"
+    },
+    "ZapierNLAWrapper": {
+        "Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier"
+    },
+    "LLMChain": {
+        "Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier",
+        "Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator",
+        "Streamlit Chat Message History": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history",
+        "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla",
+        "Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking",
+        "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking",
+        "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking",
+        "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking",
+        "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff",
+        "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking",
+        "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte",
+        "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat",
+        "Vectara Text Generation": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation",
+        "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla",
+        "JSON Agent": "https://python.langchain.com/docs/integrations/toolkits/json",
+        "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma",
+        "Predibase": "https://python.langchain.com/docs/integrations/llms/predibase",
+        "Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai",
+        "AzureML Online Endpoint": "https://python.langchain.com/docs/integrations/llms/azureml_endpoint_example",
+        "Custom Trajectory Evaluator": "https://python.langchain.com/docs/guides/evaluation/trajectory/custom",
+        "Custom Pairwise Evaluator": "https://python.langchain.com/docs/guides/evaluation/comparison/custom",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "Summarization": "https://python.langchain.com/docs/use_cases/summarization",
+        "Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis",
+        "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation",
+        "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde",
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
+        "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian",
+        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research",
+        "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder",
+        "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory",
+        "Logging to file": "https://python.langchain.com/docs/modules/callbacks/filecallbackhandler",
+        "XML Agent": "https://python.langchain.com/docs/modules/agents/agent_types/xml_agent",
+        "Datetime parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/datetime",
+        "Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining",
+        "Connecting to a Feature Store": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/connecting_to_a_feature_store",
+        "Router": "https://python.langchain.com/docs/modules/chains/foundational/router",
+        "Transformation": "https://python.langchain.com/docs/modules/chains/foundational/transformation",
+        "Async API": "https://python.langchain.com/docs/modules/chains/how_to/async_chain"
+    },
+    "TransformChain": {
+        "Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier",
+        "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff",
+        "Transformation": "https://python.langchain.com/docs/modules/chains/foundational/transformation"
+    },
+    "SimpleSequentialChain": {
+        "Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier",
+        "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking",
+        "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff",
+        "Baseten": "https://python.langchain.com/docs/integrations/llms/baseten",
+        "Predibase": "https://python.langchain.com/docs/integrations/llms/predibase",
+        "Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai",
+        "Replicate": "https://python.langchain.com/docs/integrations/llms/replicate",
+        "Transformation": "https://python.langchain.com/docs/modules/chains/foundational/transformation"
+    },
+    "ZapierNLARunAction": {
+        "Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier"
+    },
+    "GoldenQueryAPIWrapper": {
+        "Golden Query": "https://python.langchain.com/docs/integrations/tools/golden_query",
+        "Golden": "https://python.langchain.com/docs/integrations/providers/golden"
+    },
+    "ArxivAPIWrapper": {
+        "ArXiv API Tool": "https://python.langchain.com/docs/integrations/tools/arxiv"
+    },
+    "tool": {
+        "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search",
+        "JSONFormer": "https://python.langchain.com/docs/integrations/llms/jsonformer_experimental",
+        "Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval",
+        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times",
+        "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools",
+        "XML Agent": "https://python.langchain.com/docs/modules/agents/agent_types/xml_agent"
+    },
+    "OpenAIFunctionsAgent": {
+        "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search",
+        "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents"
+    },
+    "SystemMessage": {
+        "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search",
+        "Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic",
+        "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm",
+        "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai",
+        "Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/chat/google_vertex_ai_palm",
+        "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat",
+        "ERNIE-Bot Chat": "https://python.langchain.com/docs/integrations/chat/ernie",
+        "Anyscale": "https://python.langchain.com/docs/integrations/chat/anyscale",
+        "Context": "https://python.langchain.com/docs/integrations/callbacks/context",
+        "Label Studio": "https://python.langchain.com/docs/integrations/callbacks/labelstudio",
+        "MLflow AI Gateway": "https://python.langchain.com/docs/integrations/providers/mlflow_ai_gateway",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents",
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
+        "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/agent_simulations/camel_role_playing",
+        "Multi-Agent Simulated Environment: Petting Zoo": "https://python.langchain.com/docs/use_cases/agent_simulations/petting_zoo",
+        "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_bidding",
+        "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian",
+        "Two-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/two_player_dnd",
+        "Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/multi_player_dnd",
+        "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/agent_simulations/gymnasium",
+        "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools",
+        "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory",
+        "Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions",
+        "Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining",
+        "Using OpenAI functions": "https://python.langchain.com/docs/modules/chains/how_to/openai_functions"
+    },
+    "AgentExecutor": {
+        "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search",
+        "Jina": "https://python.langchain.com/docs/integrations/providers/jina",
+        "PowerBI Dataset Agent": "https://python.langchain.com/docs/integrations/toolkits/powerbi",
+        "SQL Database Agent": "https://python.langchain.com/docs/integrations/toolkits/sql_database",
+        "JSON Agent": "https://python.langchain.com/docs/integrations/toolkits/json",
+        "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor",
+        "SQL": "https://python.langchain.com/docs/use_cases/sql",
+        "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent",
+        "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents",
+        "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai",
+        "Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent",
+        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
+        "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval",
+        "Adding Message Memory backed by a database to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db",
+        "How to add Memory to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory",
+        "XML Agent": "https://python.langchain.com/docs/modules/agents/agent_types/xml_agent",
+        "Custom MRKL agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent",
+        "Shared memory across agents and tools": "https://python.langchain.com/docs/modules/agents/how_to/sharedmemory_for_tools",
+        "Custom multi-action agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_multi_action_agent",
+        "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter",
+        "Custom agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent",
+        "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval"
+    },
+    "MetaphorSearchAPIWrapper": {
+        "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search"
+    },
+    "PlayWrightBrowserToolkit": {
+        "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search",
+        "PlayWright Browser Toolkit": "https://python.langchain.com/docs/integrations/toolkits/playwright"
+    },
+    "create_async_playwright_browser": {
+        "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search",
+        "PlayWright Browser Toolkit": "https://python.langchain.com/docs/integrations/toolkits/playwright"
+    },
+    "MetaphorSearchResults": {
+        "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search"
+    },
+    "SerpAPIWrapper": {
+        "SerpAPI": "https://python.langchain.com/docs/integrations/providers/serpapi",
+        "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor",
+        "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt"
+    },
+    "GraphQLAPIWrapper": {
+        "GraphQL tool": "https://python.langchain.com/docs/integrations/tools/graphql"
+    },
+    "DuckDuckGoSearchRun": {
+        "DuckDuckGo Search": "https://python.langchain.com/docs/integrations/tools/ddg",
+        "Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github",
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
+        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times"
+    },
+    "DuckDuckGoSearchResults": {
+        "DuckDuckGo Search": "https://python.langchain.com/docs/integrations/tools/ddg"
+    },
+    "DuckDuckGoSearchAPIWrapper": {
+        "DuckDuckGo Search": "https://python.langchain.com/docs/integrations/tools/ddg"
+    },
+    "ConversationBufferMemory": {
+        "Gradio Tools": "https://python.langchain.com/docs/integrations/tools/gradio_tools",
+        "SceneXplain": "https://python.langchain.com/docs/integrations/tools/sceneXplain",
+        "Streamlit Chat Message History": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history",
+        "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history",
+        "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat",
+        "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor",
+        "Bedrock": "https://python.langchain.com/docs/integrations/llms/bedrock",
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
+        "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools",
+        "Adding Message Memory backed by a database to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db",
+        "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs",
+        "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory",
+        "How to use multiple memory classes in the same chain": "https://python.langchain.com/docs/modules/memory/multiple_memory",
+        "How to customize conversational memory": "https://python.langchain.com/docs/modules/memory/conversational_customization",
+        "How to add Memory to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory",
+        "Shared memory across agents and tools": "https://python.langchain.com/docs/modules/agents/how_to/sharedmemory_for_tools",
+        "Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions"
+    },
+    "SceneXplainTool": {
+        "SceneXplain": "https://python.langchain.com/docs/integrations/tools/sceneXplain"
+    },
+    "WolframAlphaAPIWrapper": {
+        "Wolfram Alpha": "https://python.langchain.com/docs/integrations/providers/wolfram_alpha"
+    },
+    "load_huggingface_tool": {
+        "Requires transformers>=4.29.0 and huggingface_hub>=0.14.1": "https://python.langchain.com/docs/integrations/tools/huggingface_tools"
+    },
+    "GoogleSearchAPIWrapper": {
+        "Google Search": "https://python.langchain.com/docs/integrations/providers/google_search",
+        "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor",
+        "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping",
+        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research",
+        "Adding Message Memory backed by a database to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db",
+        "How to add Memory to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory",
+        "Shared memory across agents and tools": "https://python.langchain.com/docs/modules/agents/how_to/sharedmemory_for_tools"
+    },
+    "BingSearchAPIWrapper": {
+        "Bing Search": "https://python.langchain.com/docs/integrations/tools/bing_search"
+    },
+    "DallEAPIWrapper": {
+        "Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator"
+    },
+    "ShellTool": {
+        "Shell Tool": "https://python.langchain.com/docs/integrations/tools/bash",
+        "Human-in-the-loop Tool Validation": "https://python.langchain.com/docs/modules/agents/tools/human_approval"
+    },
+    "ReadFileTool": {
+        "File System Tools": "https://python.langchain.com/docs/integrations/tools/filesystem",
+        "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt",
+        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times"
+    },
+    "CopyFileTool": {
+        "File System Tools": "https://python.langchain.com/docs/integrations/tools/filesystem"
+    },
+    "DeleteFileTool": {
+        "File System Tools": "https://python.langchain.com/docs/integrations/tools/filesystem"
+    },
+    "MoveFileTool": {
+        "File System Tools": "https://python.langchain.com/docs/integrations/tools/filesystem",
+        "Tools as OpenAI Functions": "https://python.langchain.com/docs/modules/agents/tools/tools_as_openai_functions"
+    },
+    "WriteFileTool": {
+        "File System Tools": "https://python.langchain.com/docs/integrations/tools/filesystem",
+        "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt",
+        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times"
+    },
+    "ListDirectoryTool": {
+        "File System Tools": "https://python.langchain.com/docs/integrations/tools/filesystem"
+    },
+    "FileManagementToolkit": {
+        "File System Tools": "https://python.langchain.com/docs/integrations/tools/filesystem"
+    },
+    "BraveSearch": {
+        "Brave Search": "https://python.langchain.com/docs/integrations/providers/brave_search"
+    },
+    "RedisChatMessageHistory": {
+        "Redis Chat Message History": "https://python.langchain.com/docs/integrations/memory/redis_chat_message_history",
+        "Adding Message Memory backed by a database to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db"
+    },
+    "ConversationChain": {
+        "Entity Memory with SQLite storage": "https://python.langchain.com/docs/integrations/memory/entity_memory_with_sqlite",
+        "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma",
+        "Bedrock": "https://python.langchain.com/docs/integrations/llms/bedrock",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools",
+        "How to use multiple memory classes in the same chain": "https://python.langchain.com/docs/modules/memory/multiple_memory",
+        "How to customize conversational memory": "https://python.langchain.com/docs/modules/memory/conversational_customization",
+        "Conversation Knowledge Graph Memory": "https://python.langchain.com/docs/modules/memory/types/kg",
+        "ConversationTokenBufferMemory": "https://python.langchain.com/docs/modules/memory/types/token_buffer",
+        "ConversationSummaryBufferMemory": "https://python.langchain.com/docs/modules/memory/types/summary_buffer",
+        "Router": "https://python.langchain.com/docs/modules/chains/foundational/router"
+    },
+    "ConversationEntityMemory": {
+        "Entity Memory with SQLite storage": "https://python.langchain.com/docs/integrations/memory/entity_memory_with_sqlite"
+    },
+    "SQLiteEntityStore": {
+        "Entity Memory with SQLite storage": "https://python.langchain.com/docs/integrations/memory/entity_memory_with_sqlite"
+    },
+    "ENTITY_MEMORY_CONVERSATION_TEMPLATE": {
+        "Entity Memory with SQLite storage": "https://python.langchain.com/docs/integrations/memory/entity_memory_with_sqlite"
+    },
+    "PostgresChatMessageHistory": {
+        "Postgres Chat Message History": "https://python.langchain.com/docs/integrations/memory/postgres_chat_message_history"
+    },
+    "MomentoChatMessageHistory": {
+        "Momento Chat Message History": "https://python.langchain.com/docs/integrations/memory/momento_chat_message_history"
+    },
+    "MongoDBChatMessageHistory": {
+        "Mongodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/mongodb_chat_message_history"
+    },
+    "CassandraChatMessageHistory": {
+        "Cassandra Chat Message History": "https://python.langchain.com/docs/integrations/memory/cassandra_chat_message_history",
+        "Cassandra": "https://python.langchain.com/docs/integrations/providers/cassandra"
+    },
+    "MotorheadMemory": {
+        "Mot\u00f6rhead Memory": "https://python.langchain.com/docs/integrations/memory/motorhead_memory",
+        "Mot\u00f6rhead Memory (Managed)": "https://python.langchain.com/docs/integrations/memory/motorhead_memory_managed"
+    },
+    "StreamlitChatMessageHistory": {
+        "Streamlit Chat Message History": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history"
+    },
+    "DynamoDBChatMessageHistory": {
+        "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history"
+    },
+    "PythonREPL": {
+        "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history",
+        "Python Agent": "https://python.langchain.com/docs/integrations/toolkits/python",
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"
+    },
+    "RocksetChatMessageHistory": {
+        "Rockset Chat Message History": "https://python.langchain.com/docs/integrations/memory/rockset_chat_message_history"
+    },
+    "AzureMLChatOnlineEndpoint": {
+        "AzureML Chat Online Endpoint": "https://python.langchain.com/docs/integrations/chat/azureml_chat_endpoint"
+    },
+    "LlamaContentFormatter": {
+        "AzureML Chat Online Endpoint": "https://python.langchain.com/docs/integrations/chat/azureml_chat_endpoint"
+    },
+    "ChatAnthropic": {
+        "Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic",
+        "Log10": "https://python.langchain.com/docs/integrations/providers/log10",
+        "PlayWright Browser Toolkit": "https://python.langchain.com/docs/integrations/toolkits/playwright",
+        "Fallbacks": "https://python.langchain.com/docs/guides/fallbacks",
+        "Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval",
+        "Custom Pairwise Evaluator": "https://python.langchain.com/docs/guides/evaluation/comparison/custom",
+        "Pairwise String Comparison": "https://python.langchain.com/docs/guides/evaluation/comparison/pairwise_string",
+        "Criteria Evaluation": "https://python.langchain.com/docs/guides/evaluation/string/criteria_eval_chain",
+        "XML Agent": "https://python.langchain.com/docs/modules/agents/agent_types/xml_agent",
+        "Few shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat"
+    },
+    "ChatPromptTemplate": {
+        "Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic",
+        "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm",
+        "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai",
+        "Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/chat/google_vertex_ai_palm",
+        "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat",
+        "Context": "https://python.langchain.com/docs/integrations/callbacks/context",
+        "OpenAI Functions Metadata Tagger": "https://python.langchain.com/docs/integrations/document_transformers/openai_metadata_tagger",
+        "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma",
+        "Fireworks": "https://python.langchain.com/docs/integrations/llms/Fireworks",
+        "Fallbacks": "https://python.langchain.com/docs/guides/fallbacks",
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
+        "Interface": "https://python.langchain.com/docs/guides/expression_language/interface",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "Extraction": "https://python.langchain.com/docs/use_cases/extraction",
+        "Tagging": "https://python.langchain.com/docs/use_cases/tagging",
+        "Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval",
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
+        "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian",
+        "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory",
+        "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry",
+        "Pydantic (JSON) parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/pydantic",
+        "Few shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat",
+        "Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining",
+        "Using OpenAI functions": "https://python.langchain.com/docs/modules/chains/how_to/openai_functions"
+    },
+    "SystemMessagePromptTemplate": {
+        "Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic",
+        "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm",
+        "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai",
+        "Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/chat/google_vertex_ai_palm",
+        "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat",
+        "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma",
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/agent_simulations/camel_role_playing"
+    },
+    "AIMessagePromptTemplate": {
+        "Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic",
+        "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm",
+        "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai",
+        "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat",
+        "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma"
+    },
+    "HumanMessagePromptTemplate": {
+        "Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic",
+        "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm",
+        "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai",
+        "Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/chat/google_vertex_ai_palm",
+        "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat",
+        "Context": "https://python.langchain.com/docs/integrations/callbacks/context",
+        "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma",
+        "Fireworks": "https://python.langchain.com/docs/integrations/llms/Fireworks",
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "Extraction": "https://python.langchain.com/docs/use_cases/extraction",
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
+        "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/agent_simulations/camel_role_playing",
+        "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian",
+        "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory",
+        "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry",
+        "Pydantic (JSON) parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/pydantic",
+        "Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining",
+        "Using OpenAI functions": "https://python.langchain.com/docs/modules/chains/how_to/openai_functions"
+    },
+    "CallbackManager": {
+        "Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic",
+        "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm",
+        "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama",
+        "Llama.cpp": "https://python.langchain.com/docs/integrations/llms/llamacpp",
+        "Titan Takeoff": "https://python.langchain.com/docs/integrations/llms/titan_takeoff",
+        "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa",
+        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"
+    },
+    "StreamingStdOutCallbackHandler": {
+        "Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic",
+        "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm",
+        "GPT4All": "https://python.langchain.com/docs/integrations/llms/gpt4all",
+        "Arthur": "https://python.langchain.com/docs/integrations/providers/arthur_tracking",
+        "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat",
+        "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama",
+        "Llama.cpp": "https://python.langchain.com/docs/integrations/llms/llamacpp",
+        "Titan Takeoff": "https://python.langchain.com/docs/integrations/llms/titan_takeoff",
+        "Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai",
+        "C Transformers": "https://python.langchain.com/docs/integrations/llms/ctransformers",
+        "Huggingface TextGen Inference": "https://python.langchain.com/docs/integrations/llms/huggingface_textgen_inference",
+        "Replicate": "https://python.langchain.com/docs/integrations/llms/replicate",
+        "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa",
+        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"
+    },
+    "ChatLiteLLM": {
+        "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm"
+    },
+    "create_tagging_chain": {
+        "Llama API": "https://python.langchain.com/docs/integrations/chat/llama_api",
+        "Anthropic Functions": "https://python.langchain.com/docs/integrations/chat/anthropic_functions",
+        "Tagging": "https://python.langchain.com/docs/use_cases/tagging"
+    },
+    "ChatVertexAI": {
+        "Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/chat/google_vertex_ai_palm"
+    },
+    "JinaChat": {
+        "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat"
+    },
+    "AzureChatOpenAI": {
+        "Azure": "https://python.langchain.com/docs/integrations/chat/azure_chat_openai",
+        "Azure OpenAI": "https://python.langchain.com/docs/integrations/providers/azure_openai"
+    },
+    "get_openai_callback": {
+        "Azure": "https://python.langchain.com/docs/integrations/chat/azure_chat_openai",
+        "Token counting": "https://python.langchain.com/docs/modules/callbacks/token_counting",
+        "Tracking token usage": "https://python.langchain.com/docs/modules/model_io/models/llms/token_usage_tracking"
+    },
+    "ErnieBotChat": {
+        "ERNIE-Bot Chat": "https://python.langchain.com/docs/integrations/chat/ernie"
+    },
+    "PromptLayerChatOpenAI": {
+        "PromptLayer ChatOpenAI": "https://python.langchain.com/docs/integrations/chat/promptlayer_chatopenai"
+    },
+    "ChatAnyscale": {
+        "Anyscale": "https://python.langchain.com/docs/integrations/chat/anyscale"
+    },
+    "create_extraction_chain": {
+        "Anthropic Functions": "https://python.langchain.com/docs/integrations/chat/anthropic_functions",
+        "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping",
+        "Extraction": "https://python.langchain.com/docs/use_cases/extraction"
+    },
+    "ContextCallbackHandler": {
+        "Context": "https://python.langchain.com/docs/integrations/callbacks/context"
+    },
+    "LabelStudioCallbackHandler": {
+        "Label Studio": "https://python.langchain.com/docs/integrations/callbacks/labelstudio"
+    },
+    "ArgillaCallbackHandler": {
+        "Argilla": "https://python.langchain.com/docs/integrations/providers/argilla"
+    },
+    "StdOutCallbackHandler": {
+        "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla",
+        "Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking",
+        "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking",
+        "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking",
+        "ClearML": "https://python.langchain.com/docs/integrations/providers/clearml_tracking",
+        "Async API": "https://python.langchain.com/docs/modules/agents/how_to/async_agent",
+        "Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain"
+    },
+    "PromptLayerCallbackHandler": {
+        "PromptLayer": "https://python.langchain.com/docs/integrations/callbacks/promptlayer"
+    },
+    "GPT4All": {
+        "PromptLayer": "https://python.langchain.com/docs/integrations/callbacks/promptlayer",
+        "GPT4All": "https://python.langchain.com/docs/integrations/llms/gpt4all",
+        "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa"
+    },
+    "StreamlitCallbackHandler": {
+        "Streamlit": "https://python.langchain.com/docs/integrations/callbacks/.ipynb_checkpoints/streamlit-checkpoint",
+        "GPT4All": "https://python.langchain.com/docs/integrations/providers/gpt4all"
+    },
+    "FigmaFileLoader": {
+        "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma"
+    },
+    "AzureOpenAI": {
+        "Azure OpenAI": "https://python.langchain.com/docs/integrations/llms/azure_openai_example",
+        "OpenAI": "https://python.langchain.com/docs/integrations/providers/openai"
+    },
+    "MyScale": {
+        "MyScale": "https://python.langchain.com/docs/integrations/vectorstores/myscale",
+        "Self-querying with MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query"
+    },
+    "Baseten": {
+        "Baseten": "https://python.langchain.com/docs/integrations/llms/baseten"
+    },
+    "WeatherDataLoader": {
+        "Weather": "https://python.langchain.com/docs/integrations/document_loaders/weather"
+    },
+    "Tair": {
+        "Tair": "https://python.langchain.com/docs/integrations/vectorstores/tair"
+    },
+    "UnstructuredWordDocumentLoader": {
+        "Microsoft Word": "https://python.langchain.com/docs/integrations/document_loaders/microsoft_word"
+    },
+    "CollegeConfidentialLoader": {
+        "College Confidential": "https://python.langchain.com/docs/integrations/document_loaders/college_confidential"
+    },
+    "RWKV": {
+        "RWKV-4": "https://python.langchain.com/docs/integrations/providers/rwkv"
+    },
+    "GoogleDriveLoader": {
+        "Google Drive": "https://python.langchain.com/docs/integrations/document_loaders/google_drive"
+    },
+    "Fireworks": {
+        "Fireworks": "https://python.langchain.com/docs/integrations/llms/Fireworks"
+    },
+    "AmazonAPIGateway": {
+        "Amazon API Gateway": "https://python.langchain.com/docs/integrations/llms/amazon_api_gateway_example"
+    },
+    "UnstructuredPowerPointLoader": {
+        "Microsoft PowerPoint": "https://python.langchain.com/docs/integrations/document_loaders/microsoft_powerpoint"
+    },
+    "CometCallbackHandler": {
+        "Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking"
+    },
+    "CTransformers": {
+        "C Transformers": "https://python.langchain.com/docs/integrations/llms/ctransformers"
+    },
+    "BiliBiliLoader": {
+        "BiliBili": "https://python.langchain.com/docs/integrations/document_loaders/bilibili"
+    },
+    "DiffbotLoader": {
+        "Diffbot": "https://python.langchain.com/docs/integrations/document_loaders/diffbot"
+    },
+    "DeepSparse": {
+        "DeepSparse": "https://python.langchain.com/docs/integrations/llms/deepsparse"
+    },
+    "AimCallbackHandler": {
+        "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking"
+    },
+    "ModernTreasuryLoader": {
+        "Modern Treasury": "https://python.langchain.com/docs/integrations/document_loaders/modern_treasury"
+    },
+    "FacebookChatLoader": {
+        "Facebook Chat": "https://python.langchain.com/docs/integrations/document_loaders/facebook_chat"
+    },
+    "Banana": {
+        "Banana": "https://python.langchain.com/docs/integrations/llms/banana"
+    },
+    "HuggingFacePipeline": {
+        "Hugging Face": "https://python.langchain.com/docs/integrations/providers/huggingface",
+        "RELLM": "https://python.langchain.com/docs/integrations/llms/rellm_experimental",
+        "JSONFormer": "https://python.langchain.com/docs/integrations/llms/jsonformer_experimental"
+    },
+    "HuggingFaceHub": {
+        "Hugging Face": "https://python.langchain.com/docs/integrations/providers/huggingface"
+    },
+    "HuggingFaceHubEmbeddings": {
+        "Hugging Face": "https://python.langchain.com/docs/integrations/providers/huggingface"
+    },
+    "CharacterTextSplitter": {
+        "Hugging Face": "https://python.langchain.com/docs/integrations/providers/huggingface",
+        "OpenAI": "https://python.langchain.com/docs/integrations/providers/openai",
+        "Elasticsearch": "https://python.langchain.com/docs/integrations/vectorstores/elasticsearch",
+        "Vectara Text Generation": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation",
+        "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit",
+        "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore",
+        "LanceDB": "https://python.langchain.com/docs/integrations/vectorstores/lancedb",
+        "Weaviate": "https://python.langchain.com/docs/integrations/vectorstores/weaviate",
+        "DashVector": "https://python.langchain.com/docs/integrations/vectorstores/dashvector",
+        "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann",
+        "Xata": "https://python.langchain.com/docs/integrations/vectorstores/xata",
+        "Vectara": "https://python.langchain.com/docs/integrations/vectorstores/vectara",
+        "Redis": "https://python.langchain.com/docs/integrations/vectorstores/redis",
+        "PGVector": "https://python.langchain.com/docs/integrations/vectorstores/pgvector",
+        "Rockset": "https://python.langchain.com/docs/integrations/vectorstores/rockset",
+        "Dingo": "https://python.langchain.com/docs/integrations/vectorstores/dingo",
+        "Zilliz": "https://python.langchain.com/docs/integrations/vectorstores/zilliz",
+        "SingleStoreDB": "https://python.langchain.com/docs/integrations/vectorstores/singlestoredb",
+        "Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy",
+        "Typesense": "https://python.langchain.com/docs/integrations/vectorstores/typesense",
+        "Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake",
+        "Tair": "https://python.langchain.com/docs/integrations/vectorstores/tair",
+        "Chroma": "https://python.langchain.com/docs/integrations/vectorstores/chroma",
+        "Alibaba Cloud OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/alibabacloud_opensearch",
+        "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks",
+        "Clarifai": "https://python.langchain.com/docs/integrations/vectorstores/clarifai",
+        "scikit-learn": "https://python.langchain.com/docs/integrations/vectorstores/sklearn",
+        "DocArrayHnswSearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_hnsw",
+        "MyScale": "https://python.langchain.com/docs/integrations/vectorstores/myscale",
+        "ClickHouse Vector Search": "https://python.langchain.com/docs/integrations/vectorstores/clickhouse",
+        "Qdrant": "https://python.langchain.com/docs/integrations/vectorstores/qdrant",
+        "Tigris": "https://python.langchain.com/docs/integrations/vectorstores/tigris",
+        "AwaDB": "https://python.langchain.com/docs/integrations/vectorstores/awadb",
+        "Supabase (Postgres)": "https://python.langchain.com/docs/integrations/vectorstores/supabase",
+        "OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/opensearch",
+        "Pinecone": "https://python.langchain.com/docs/integrations/vectorstores/pinecone",
+        "BagelDB": "https://python.langchain.com/docs/integrations/vectorstores/bageldb",
+        "Azure Cognitive Search": "https://python.langchain.com/docs/integrations/vectorstores/azuresearch",
+        "Cassandra": "https://python.langchain.com/docs/integrations/vectorstores/cassandra",
+        "USearch": "https://python.langchain.com/docs/integrations/vectorstores/usearch",
+        "Milvus": "https://python.langchain.com/docs/integrations/vectorstores/milvus",
+        "Marqo": "https://python.langchain.com/docs/integrations/vectorstores/marqo",
+        "DocArrayInMemorySearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_in_memory",
+        "pg_embedding": "https://python.langchain.com/docs/integrations/vectorstores/pgembedding",
+        "FAISS": "https://python.langchain.com/docs/integrations/vectorstores/faiss",
+        "AnalyticDB": "https://python.langchain.com/docs/integrations/vectorstores/analyticdb",
+        "Hologres": "https://python.langchain.com/docs/integrations/vectorstores/hologres",
+        "MongoDB Atlas": "https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas",
+        "Meilisearch": "https://python.langchain.com/docs/integrations/vectorstores/meilisearch",
+        "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma",
+        "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic",
+        "Manifest": "https://python.langchain.com/docs/integrations/llms/manifest",
+        "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching",
+        "Summarization": "https://python.langchain.com/docs/use_cases/summarization",
+        "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents",
+        "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation",
+        "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde",
+        "Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake",
+        "Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake",
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
+        "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat",
+        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
+        "Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings",
+        "Split by tokens ": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/split_by_token",
+        "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs",
+        "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore",
+        "Loading from LangChainHub": "https://python.langchain.com/docs/modules/chains/how_to/from_hub"
+    },
+    "DocugamiLoader": {
+        "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami"
+    },
+    "GutenbergLoader": {
+        "Gutenberg": "https://python.langchain.com/docs/integrations/document_loaders/gutenberg"
+    },
+    "AzureBlobStorageContainerLoader": {
+        "Azure Blob Storage": "https://python.langchain.com/docs/integrations/providers/azure_blob_storage",
+        "Azure Blob Storage Container": "https://python.langchain.com/docs/integrations/document_loaders/azure_blob_storage_container"
+    },
+    "AzureBlobStorageFileLoader": {
+        "Azure Blob Storage": "https://python.langchain.com/docs/integrations/providers/azure_blob_storage",
+        "Azure Blob Storage File": "https://python.langchain.com/docs/integrations/document_loaders/azure_blob_storage_file"
+    },
+    "WikipediaLoader": {
+        "Wikipedia": "https://python.langchain.com/docs/integrations/document_loaders/wikipedia"
+    },
+    "ConfluenceLoader": {
+        "Confluence": "https://python.langchain.com/docs/integrations/document_loaders/confluence"
+    },
+    "Predibase": {
+        "Predibase": "https://python.langchain.com/docs/integrations/llms/predibase"
+    },
+    "Beam": {
+        "Beam": "https://python.langchain.com/docs/integrations/llms/beam"
+    },
+    "GrobidParser": {
+        "Grobid": "https://python.langchain.com/docs/integrations/document_loaders/grobid"
+    },
+    "GenericLoader": {
+        "Grobid": "https://python.langchain.com/docs/integrations/document_loaders/grobid",
+        "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio",
+        "Source Code": "https://python.langchain.com/docs/integrations/document_loaders/source_code",
+        "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding"
+    },
+    "Typesense": {
+        "Typesense": "https://python.langchain.com/docs/integrations/vectorstores/typesense"
+    },
+    "Hologres": {
+        "Hologres": "https://python.langchain.com/docs/integrations/vectorstores/hologres"
+    },
+    "AI21": {
+        "AI21 Labs": "https://python.langchain.com/docs/integrations/providers/ai21",
+        "AI21": "https://python.langchain.com/docs/integrations/llms/ai21"
+    },
+    "WandbCallbackHandler": {
+        "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking"
+    },
+    "ObsidianLoader": {
+        "Obsidian": "https://python.langchain.com/docs/integrations/document_loaders/obsidian"
+    },
+    "create_sql_agent": {
+        "CnosDB": "https://python.langchain.com/docs/integrations/providers/cnosdb",
+        "SQL Database Agent": "https://python.langchain.com/docs/integrations/toolkits/sql_database",
+        "SQL": "https://python.langchain.com/docs/use_cases/sql"
+    },
+    "SQLDatabaseToolkit": {
+        "CnosDB": "https://python.langchain.com/docs/integrations/providers/cnosdb",
+        "SQL Database Agent": "https://python.langchain.com/docs/integrations/toolkits/sql_database",
+        "SQL": "https://python.langchain.com/docs/use_cases/sql",
+        "Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions"
+    },
+    "SageMakerCallbackHandler": {
+        "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking"
+    },
+    "OpenAIModerationChain": {
+        "OpenAI": "https://python.langchain.com/docs/integrations/providers/openai",
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"
+    },
+    "ChatGPTLoader": {
+        "OpenAI": "https://python.langchain.com/docs/integrations/providers/openai",
+        "ChatGPT Data": "https://python.langchain.com/docs/integrations/document_loaders/chatgpt_loader"
+    },
+    "Nebula": {
+        "Nebula": "https://python.langchain.com/docs/integrations/providers/symblai_nebula",
+        "Nebula (Symbl.ai)": "https://python.langchain.com/docs/integrations/llms/symblai_nebula"
+    },
+    "AZLyricsLoader": {
+        "AZLyrics": "https://python.langchain.com/docs/integrations/document_loaders/azlyrics"
+    },
+    "ToMarkdownLoader": {
+        "2Markdown": "https://python.langchain.com/docs/integrations/document_loaders/tomarkdown"
+    },
+    "Dingo": {
+        "Dingo": "https://python.langchain.com/docs/integrations/vectorstores/dingo"
+    },
+    "GitLoader": {
+        "Git": "https://python.langchain.com/docs/integrations/document_loaders/git"
+    },
+    "InfinoCallbackHandler": {
+        "Infino": "https://python.langchain.com/docs/integrations/providers/infino"
+    },
+    "MlflowAIGateway": {
+        "MLflow AI Gateway": "https://python.langchain.com/docs/integrations/providers/mlflow_ai_gateway"
+    },
+    "MlflowAIGatewayEmbeddings": {
+        "MLflow AI Gateway": "https://python.langchain.com/docs/integrations/providers/mlflow_ai_gateway"
+    },
+    "ChatMLflowAIGateway": {
+        "MLflow AI Gateway": "https://python.langchain.com/docs/integrations/providers/mlflow_ai_gateway"
+    },
+    "SingleStoreDB": {
+        "SingleStoreDB": "https://python.langchain.com/docs/integrations/vectorstores/singlestoredb"
+    },
+    "Tigris": {
+        "Tigris": "https://python.langchain.com/docs/integrations/vectorstores/tigris"
+    },
+    "Bedrock": {
+        "Bedrock": "https://python.langchain.com/docs/integrations/llms/bedrock"
+    },
+    "S3DirectoryLoader": {
+        "AWS S3 Directory": "https://python.langchain.com/docs/integrations/document_loaders/aws_s3_directory"
+    },
+    "S3FileLoader": {
+        "AWS S3 Directory": "https://python.langchain.com/docs/integrations/providers/aws_s3",
+        "AWS S3 File": "https://python.langchain.com/docs/integrations/document_loaders/aws_s3_file"
+    },
+    "SQLDatabase": {
+        "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff",
+        "SQL Database Agent": "https://python.langchain.com/docs/integrations/toolkits/sql_database",
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
+        "SQL": "https://python.langchain.com/docs/use_cases/sql",
+        "Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval"
+    },
+    "Weaviate": {
+        "Weaviate": "https://python.langchain.com/docs/integrations/vectorstores/weaviate",
+        "Weaviate self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query"
+    },
+    "AirbyteJSONLoader": {
+        "Airbyte": "https://python.langchain.com/docs/integrations/providers/airbyte",
+        "Airbyte JSON": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_json"
+    },
+    "TelegramChatFileLoader": {
+        "Telegram": "https://python.langchain.com/docs/integrations/document_loaders/telegram"
+    },
+    "TelegramChatApiLoader": {
+        "Telegram": "https://python.langchain.com/docs/integrations/document_loaders/telegram"
+    },
+    "PredictionGuard": {
+        "Prediction Guard": "https://python.langchain.com/docs/integrations/llms/predictionguard"
+    },
+    "NotionDirectoryLoader": {
+        "Notion DB": "https://python.langchain.com/docs/integrations/providers/notion",
+        "Notion DB 1/2": "https://python.langchain.com/docs/integrations/document_loaders/notion",
+        "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA"
+    },
+    "NotionDBLoader": {
+        "Notion DB": "https://python.langchain.com/docs/integrations/providers/notion",
+        "Notion DB 2/2": "https://python.langchain.com/docs/integrations/document_loaders/notiondb"
+    },
+    "MWDumpLoader": {
+        "MediaWikiDump": "https://python.langchain.com/docs/integrations/document_loaders/mediawikidump"
+    },
+    "BraveSearchLoader": {
+        "Brave Search": "https://python.langchain.com/docs/integrations/document_loaders/brave_search"
+    },
+    "StarRocks": {
+        "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks"
+    },
+    "ElasticsearchStore": {
+        "Elasticsearch": "https://python.langchain.com/docs/integrations/vectorstores/elasticsearch",
+        "Elasticsearch self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query"
+    },
+    "DatadogLogsLoader": {
+        "Datadog Logs": "https://python.langchain.com/docs/integrations/document_loaders/datadog_logs"
+    },
+    "ApifyDatasetLoader": {
+        "Apify": "https://python.langchain.com/docs/integrations/providers/apify",
+        "Apify Dataset": "https://python.langchain.com/docs/integrations/document_loaders/apify_dataset"
+    },
+    "NLPCloud": {
+        "NLPCloud": "https://python.langchain.com/docs/integrations/providers/nlpcloud",
+        "NLP Cloud": "https://python.langchain.com/docs/integrations/llms/nlpcloud"
+    },
+    "Milvus": {
+        "Milvus": "https://python.langchain.com/docs/integrations/vectorstores/milvus",
+        "Zilliz": "https://python.langchain.com/docs/integrations/vectorstores/zilliz"
+    },
+    "Qdrant": {
+        "Qdrant": "https://python.langchain.com/docs/integrations/vectorstores/qdrant",
+        "Qdrant self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query"
+    },
+    "GitbookLoader": {
+        "GitBook": "https://python.langchain.com/docs/integrations/document_loaders/gitbook"
+    },
+    "OpenSearchVectorSearch": {
+        "OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/opensearch"
+    },
+    "Pinecone": {
+        "Pinecone": "https://python.langchain.com/docs/integrations/vectorstores/pinecone",
+        "Self-querying with Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone"
+    },
+    "Rockset": {
+        "Rockset": "https://python.langchain.com/docs/integrations/vectorstores/rockset"
+    },
+    "RocksetLoader": {
+        "Rockset": "https://python.langchain.com/docs/integrations/document_loaders/rockset"
+    },
+    "Minimax": {
+        "Minimax": "https://python.langchain.com/docs/integrations/llms/minimax"
+    },
+    "UnstructuredFileLoader": {
+        "Unstructured": "https://python.langchain.com/docs/integrations/providers/unstructured",
+        "Unstructured File": "https://python.langchain.com/docs/integrations/document_loaders/unstructured_file"
+    },
+    "SelfHostedPipeline": {
+        "Runhouse": "https://python.langchain.com/docs/integrations/llms/runhouse"
+    },
+    "SelfHostedHuggingFaceLLM": {
+        "Runhouse": "https://python.langchain.com/docs/integrations/llms/runhouse"
+    },
+    "MlflowCallbackHandler": {
+        "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking"
+    },
+    "SpreedlyLoader": {
+        "Spreedly": "https://python.langchain.com/docs/integrations/document_loaders/spreedly"
+    },
+    "OpenLLM": {
+        "OpenLLM": "https://python.langchain.com/docs/integrations/llms/openllm"
+    },
+    "PubMedLoader": {
+        "PubMed": "https://python.langchain.com/docs/integrations/document_loaders/pubmed"
+    },
+    "SearxSearchResults": {
+        "SearxNG Search API": "https://python.langchain.com/docs/integrations/providers/searx"
+    },
+    "SpacyTextSplitter": {
+        "spaCy": "https://python.langchain.com/docs/integrations/providers/spacy",
+        "Atlas": "https://python.langchain.com/docs/integrations/vectorstores/atlas",
+        "Split by tokens ": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/split_by_token"
+    },
+    "Modal": {
+        "Modal": "https://python.langchain.com/docs/integrations/llms/modal"
+    },
+    "Xinference": {
+        "Xorbits Inference (Xinference)": "https://python.langchain.com/docs/integrations/llms/xinference"
+    },
+    "IFixitLoader": {
+        "iFixit": "https://python.langchain.com/docs/integrations/document_loaders/ifixit"
+    },
+    "AlephAlpha": {
+        "Aleph Alpha": "https://python.langchain.com/docs/integrations/llms/aleph_alpha"
+    },
+    "PipelineAI": {
+        "PipelineAI": "https://python.langchain.com/docs/integrations/llms/pipelineai_example"
+    },
+    "LlamaCpp": {
+        "Llama.cpp": "https://python.langchain.com/docs/integrations/llms/llamacpp",
+        "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa",
+        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"
+    },
+    "AwaDB": {
+        "AwaDB": "https://python.langchain.com/docs/integrations/vectorstores/awadb"
+    },
+    "ArxivLoader": {
+        "Arxiv": "https://python.langchain.com/docs/integrations/document_loaders/arxiv"
+    },
+    "Anyscale": {
+        "Anyscale": "https://python.langchain.com/docs/integrations/llms/anyscale"
+    },
+    "StripeLoader": {
+        "Stripe": "https://python.langchain.com/docs/integrations/document_loaders/stripe"
+    },
+    "Bagel": {
+        "BagelDB": "https://python.langchain.com/docs/integrations/vectorstores/bageldb"
+    },
+    "BlackboardLoader": {
+        "Blackboard": "https://python.langchain.com/docs/integrations/document_loaders/blackboard"
+    },
+    "WhatsAppChatLoader": {
+        "WhatsApp": "https://python.langchain.com/docs/integrations/providers/whatsapp",
+        "WhatsApp Chat": "https://python.langchain.com/docs/integrations/document_loaders/whatsapp_chat"
+    },
+    "LanceDB": {
+        "LanceDB": "https://python.langchain.com/docs/integrations/vectorstores/lancedb"
+    },
+    "OneDriveLoader": {
+        "Microsoft OneDrive": "https://python.langchain.com/docs/integrations/document_loaders/microsoft_onedrive"
+    },
+    "AnalyticDB": {
+        "AnalyticDB": "https://python.langchain.com/docs/integrations/vectorstores/analyticdb"
+    },
+    "YoutubeLoader": {
+        "YouTube": "https://python.langchain.com/docs/integrations/providers/youtube",
+        "YouTube transcripts": "https://python.langchain.com/docs/integrations/document_loaders/youtube_transcript"
+    },
+    "GoogleApiYoutubeLoader": {
+        "YouTube": "https://python.langchain.com/docs/integrations/providers/youtube",
+        "YouTube transcripts": "https://python.langchain.com/docs/integrations/document_loaders/youtube_transcript"
+    },
+    "PromptLayerOpenAI": {
+        "PromptLayer": "https://python.langchain.com/docs/integrations/providers/promptlayer",
+        "PromptLayer OpenAI": "https://python.langchain.com/docs/integrations/llms/promptlayer_openai"
+    },
+    "DeepLake": {
+        "Deep Lake": "https://python.langchain.com/docs/integrations/providers/deeplake",
+        "Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake",
+        "Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake",
+        "Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake",
+        "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat",
+        "Deep Lake self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query"
+    },
+    "WhyLabsCallbackHandler": {
+        "WhyLabs": "https://python.langchain.com/docs/integrations/providers/whylabs_profiling"
+    },
+    "FlyteCallbackHandler": {
+        "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte"
+    },
+    "wandb_tracing_enabled": {
+        "WandB Tracing": "https://python.langchain.com/docs/integrations/providers/wandb_tracing"
+    },
+    "ManifestWrapper": {
+        "Hazy Research": "https://python.langchain.com/docs/integrations/providers/hazy_research",
+        "Manifest": "https://python.langchain.com/docs/integrations/llms/manifest"
+    },
+    "Marqo": {
+        "Marqo": "https://python.langchain.com/docs/integrations/vectorstores/marqo"
+    },
+    "IMSDbLoader": {
+        "IMSDb": "https://python.langchain.com/docs/integrations/document_loaders/imsdb"
+    },
+    "PGVector": {
+        "PGVector": "https://python.langchain.com/docs/integrations/vectorstores/pgvector"
+    },
+    "DeepInfra": {
+        "DeepInfra": "https://python.langchain.com/docs/integrations/llms/deepinfra_example"
+    },
+    "ZeroShotAgent": {
+        "Jina": "https://python.langchain.com/docs/integrations/providers/jina",
+        "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor",
+        "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent",
+        "Adding Message Memory backed by a database to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db",
+        "How to add Memory to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory",
+        "Custom MRKL agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent",
+        "Shared memory across agents and tools": "https://python.langchain.com/docs/modules/agents/how_to/sharedmemory_for_tools"
+    },
+    "RedditPostsLoader": {
+        "Reddit": "https://python.langchain.com/docs/integrations/document_loaders/reddit"
+    },
+    "TrelloLoader": {
+        "Trello": "https://python.langchain.com/docs/integrations/document_loaders/trello"
+    },
+    "AtlasDB": {
+        "AtlasDB": "https://python.langchain.com/docs/integrations/providers/atlas",
+        "Atlas": "https://python.langchain.com/docs/integrations/vectorstores/atlas"
+    },
+    "SKLearnVectorStore": {
+        "scikit-learn": "https://python.langchain.com/docs/integrations/vectorstores/sklearn"
+    },
+    "EverNoteLoader": {
+        "EverNote": "https://python.langchain.com/docs/integrations/document_loaders/evernote"
+    },
+    "TwitterTweetLoader": {
+        "Twitter": "https://python.langchain.com/docs/integrations/document_loaders/twitter"
+    },
+    "DiscordChatLoader": {
+        "Discord": "https://python.langchain.com/docs/integrations/document_loaders/discord"
+    },
+    "RedisCache": {
+        "Redis": "https://python.langchain.com/docs/integrations/providers/redis",
+        "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"
+    },
+    "RedisSemanticCache": {
+        "Redis": "https://python.langchain.com/docs/integrations/providers/redis",
+        "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"
+    },
+    "Redis": {
+        "Redis": "https://python.langchain.com/docs/integrations/vectorstores/redis"
+    },
+    "SelfQueryRetriever": {
+        "Chroma": "https://python.langchain.com/docs/integrations/providers/.ipynb_checkpoints/chroma-checkpoint",
+        "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami",
+        "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA",
+        "Weaviate self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query",
+        "Elasticsearch self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query",
+        "Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query",
+        "Self-querying with Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone",
+        "Self-querying with MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query",
+        "Deep Lake self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query",
+        "Qdrant self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query"
+    },
+    "ClearMLCallbackHandler": {
+        "ClearML": "https://python.langchain.com/docs/integrations/providers/clearml_tracking"
+    },
+    "Cohere": {
+        "Cohere": "https://python.langchain.com/docs/integrations/llms/cohere"
+    },
+    "SlackDirectoryLoader": {
+        "Slack": "https://python.langchain.com/docs/integrations/document_loaders/slack"
+    },
+    "LLMContentHandler": {
+        "SageMaker Endpoint": "https://python.langchain.com/docs/integrations/providers/sagemaker_endpoint",
+        "SageMakerEndpoint": "https://python.langchain.com/docs/integrations/llms/sagemaker"
+    },
+    "ContentHandlerBase": {
+        "SageMaker Endpoint": "https://python.langchain.com/docs/integrations/providers/sagemaker_endpoint"
+    },
+    "HNLoader": {
+        "Hacker News": "https://python.langchain.com/docs/integrations/document_loaders/hacker_news"
+    },
+    "Annoy": {
+        "Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy"
+    },
+    "DashVector": {
+        "DashVector": "https://python.langchain.com/docs/integrations/vectorstores/dashvector"
+    },
+    "GCSDirectoryLoader": {
+        "Google Cloud Storage": "https://python.langchain.com/docs/integrations/providers/google_cloud_storage",
+        "Google Cloud Storage Directory": "https://python.langchain.com/docs/integrations/document_loaders/google_cloud_storage_directory"
+    },
+    "GCSFileLoader": {
+        "Google Cloud Storage": "https://python.langchain.com/docs/integrations/providers/google_cloud_storage",
+        "Google Cloud Storage File": "https://python.langchain.com/docs/integrations/document_loaders/google_cloud_storage_file"
+    },
+    "ArthurCallbackHandler": {
+        "Arthur": "https://python.langchain.com/docs/integrations/providers/arthur_tracking"
+    },
+    "DuckDBLoader": {
+        "DuckDB": "https://python.langchain.com/docs/integrations/document_loaders/duckdb"
+    },
+    "Petals": {
+        "Petals": "https://python.langchain.com/docs/integrations/llms/petals_example"
+    },
+    "MomentoCache": {
+        "Momento": "https://python.langchain.com/docs/integrations/providers/momento",
+        "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"
+    },
+    "NIBittensorLLM": {
+        "NIBittensor": "https://python.langchain.com/docs/integrations/providers/bittensor",
+        "NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor"
+    },
+    "AirtableLoader": {
+        "Airtable": "https://python.langchain.com/docs/integrations/document_loaders/airtable"
+    },
+    "TensorflowDatasetLoader": {
+        "TensorFlow Datasets": "https://python.langchain.com/docs/integrations/document_loaders/tensorflow_datasets"
+    },
+    "Clarifai": {
+        "Clarifai": "https://python.langchain.com/docs/integrations/llms/clarifai"
+    },
+    "BigQueryLoader": {
+        "Google BigQuery": "https://python.langchain.com/docs/integrations/document_loaders/google_bigquery"
+    },
+    "RoamLoader": {
+        "Roam": "https://python.langchain.com/docs/integrations/document_loaders/roam"
+    },
+    "Portkey": {
+        "Log, Trace, and Monitor Langchain LLM Calls": "https://python.langchain.com/docs/integrations/providers/portkey/logging_tracing_portkey",
+        "Portkey": "https://python.langchain.com/docs/integrations/providers/portkey/index"
+    },
+    "Vectara": {
+        "Vectara": "https://python.langchain.com/docs/integrations/vectorstores/vectara",
+        "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat",
+        "Vectara Text Generation": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation"
+    },
+    "VectaraRetriever": {
+        "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat"
+    },
+    "load_qa_chain": {
+        "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat",
+        "SageMakerEndpoint": "https://python.langchain.com/docs/integrations/llms/sagemaker",
+        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
+        "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa",
+        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research",
+        "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs"
+    },
+    "CONDENSE_QUESTION_PROMPT": {
+        "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat"
+    },
+    "load_qa_with_sources_chain": {
+        "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat",
+        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times"
+    },
+    "QA_PROMPT": {
+        "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat"
+    },
+    "create_csv_agent": {
+        "CSV Agent": "https://python.langchain.com/docs/integrations/toolkits/csv"
+    },
+    "create_xorbits_agent": {
+        "Xorbits Agent": "https://python.langchain.com/docs/integrations/toolkits/xorbits"
+    },
+    "JiraToolkit": {
+        "Jira": "https://python.langchain.com/docs/integrations/toolkits/jira"
+    },
+    "JiraAPIWrapper": {
+        "Jira": "https://python.langchain.com/docs/integrations/toolkits/jira"
+    },
+    "create_spark_dataframe_agent": {
+        "Spark Dataframe Agent": "https://python.langchain.com/docs/integrations/toolkits/spark"
+    },
+    "PyPDFLoader": {
+        "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit",
+        "Google Cloud Storage File": "https://python.langchain.com/docs/integrations/document_loaders/google_cloud_storage_file",
+        "MergeDocLoader": "https://python.langchain.com/docs/integrations/document_loaders/merge_doc_loader",
+        "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat"
+    },
+    "create_python_agent": {
+        "Python Agent": "https://python.langchain.com/docs/integrations/toolkits/python"
+    },
+    "PythonREPLTool": {
+        "Python Agent": "https://python.langchain.com/docs/integrations/toolkits/python"
+    },
+    "create_pbi_agent": {
+        "PowerBI Dataset Agent": "https://python.langchain.com/docs/integrations/toolkits/powerbi"
+    },
+    "PowerBIToolkit": {
+        "PowerBI Dataset Agent": "https://python.langchain.com/docs/integrations/toolkits/powerbi"
+    },
+    "PowerBIDataset": {
+        "PowerBI Dataset Agent": "https://python.langchain.com/docs/integrations/toolkits/powerbi"
+    },
+    "AzureCognitiveServicesToolkit": {
+        "Azure Cognitive Services Toolkit": "https://python.langchain.com/docs/integrations/toolkits/azure_cognitive_services"
+    },
+    "Requests": {
+        "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla"
+    },
+    "APIOperation": {
+        "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla"
+    },
+    "OpenAPISpec": {
+        "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla"
+    },
+    "NLAToolkit": {
+        "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla",
+        "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai",
+        "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval"
+    },
+    "GmailToolkit": {
+        "Gmail Toolkit": "https://python.langchain.com/docs/integrations/toolkits/gmail"
+    },
+    "build_resource_service": {
+        "Gmail Toolkit": "https://python.langchain.com/docs/integrations/toolkits/gmail"
+    },
+    "get_gmail_credentials": {
+        "Gmail Toolkit": "https://python.langchain.com/docs/integrations/toolkits/gmail"
+    },
+    "create_json_agent": {
+        "JSON Agent": "https://python.langchain.com/docs/integrations/toolkits/json"
+    },
+    "JsonToolkit": {
+        "JSON Agent": "https://python.langchain.com/docs/integrations/toolkits/json"
+    },
+    "JsonSpec": {
+        "JSON Agent": "https://python.langchain.com/docs/integrations/toolkits/json",
+        "OpenAPI agents": "https://python.langchain.com/docs/integrations/toolkits/openapi"
+    },
+    "GitHubToolkit": {
+        "Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github"
+    },
+    "GitHubAPIWrapper": {
+        "Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github"
+    },
+    "GitHubAction": {
+        "Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github"
+    },
+    "create_spark_sql_agent": {
+        "Spark SQL Agent": "https://python.langchain.com/docs/integrations/toolkits/spark_sql"
+    },
+    "SparkSQLToolkit": {
+        "Spark SQL Agent": "https://python.langchain.com/docs/integrations/toolkits/spark_sql"
+    },
+    "SparkSQL": {
+        "Spark SQL Agent": "https://python.langchain.com/docs/integrations/toolkits/spark_sql"
+    },
+    "create_sync_playwright_browser": {
+        "PlayWright Browser Toolkit": "https://python.langchain.com/docs/integrations/toolkits/playwright"
+    },
+    "O365Toolkit": {
+        "Office365 Toolkit": "https://python.langchain.com/docs/integrations/toolkits/office365"
+    },
+    "create_pandas_dataframe_agent": {
+        "Pandas Dataframe Agent": "https://python.langchain.com/docs/integrations/toolkits/pandas",
+        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times"
+    },
+    "MultionToolkit": {
+        "MultiOn Toolkit": "https://python.langchain.com/docs/integrations/toolkits/multion"
+    },
+    "AmadeusToolkit": {
+        "Amadeus Toolkit": "https://python.langchain.com/docs/integrations/toolkits/amadeus"
+    },
+    "create_vectorstore_agent": {
+        "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore"
+    },
+    "VectorStoreToolkit": {
+        "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore"
+    },
+    "VectorStoreInfo": {
+        "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore"
+    },
+    "create_vectorstore_router_agent": {
+        "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore"
+    },
+    "VectorStoreRouterToolkit": {
+        "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore"
+    },
+    "reduce_openapi_spec": {
+        "OpenAPI agents": "https://python.langchain.com/docs/integrations/toolkits/openapi"
+    },
+    "RequestsWrapper": {
+        "OpenAPI agents": "https://python.langchain.com/docs/integrations/toolkits/openapi"
+    },
+    "create_openapi_agent": {
+        "OpenAPI agents": "https://python.langchain.com/docs/integrations/toolkits/openapi"
+    },
+    "OpenAPIToolkit": {
+        "OpenAPI agents": "https://python.langchain.com/docs/integrations/toolkits/openapi"
+    },
+    "RetrievalQAWithSourcesChain": {
+        "Weaviate": "https://python.langchain.com/docs/integrations/vectorstores/weaviate",
+        "Marqo": "https://python.langchain.com/docs/integrations/vectorstores/marqo",
+        "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic",
+        "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping",
+        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
+        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"
+    },
+    "MatchingEngine": {
+        "MatchingEngine": "https://python.langchain.com/docs/integrations/vectorstores/matchingengine"
+    },
+    "ScaNN": {
+        "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann"
+    },
+    "google_palm": {
+        "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann"
+    },
+    "XataVectorStore": {
+        "Xata": "https://python.langchain.com/docs/integrations/vectorstores/xata"
+    },
+    "InMemoryDocstore": {
+        "Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy",
+        "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt",
+        "BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/agents/baby_agi",
+        "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent",
+        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times",
+        "Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/agent_simulations/characters"
+    },
+    "OpenAIChat": {
+        "Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake"
+    },
+    "AlibabaCloudOpenSearch": {
+        "Alibaba Cloud OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/alibabacloud_opensearch"
+    },
+    "AlibabaCloudOpenSearchSettings": {
+        "Alibaba Cloud OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/alibabacloud_opensearch"
+    },
+    "StarRocksSettings": {
+        "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks"
+    },
+    "TokenTextSplitter": {
+        "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks",
+        "Split by tokens ": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/split_by_token"
+    },
+    "DirectoryLoader": {
+        "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks"
+    },
+    "UnstructuredMarkdownLoader": {
+        "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks"
+    },
+    "DocArrayHnswSearch": {
+        "DocArrayHnswSearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_hnsw"
+    },
+    "MyScaleSettings": {
+        "MyScale": "https://python.langchain.com/docs/integrations/vectorstores/myscale"
+    },
+    "Clickhouse": {
+        "ClickHouse Vector Search": "https://python.langchain.com/docs/integrations/vectorstores/clickhouse"
+    },
+    "ClickhouseSettings": {
+        "ClickHouse Vector Search": "https://python.langchain.com/docs/integrations/vectorstores/clickhouse"
+    },
+    "SupabaseVectorStore": {
+        "Supabase (Postgres)": "https://python.langchain.com/docs/integrations/vectorstores/supabase"
+    },
+    "AzureSearch": {
+        "Azure Cognitive Search": "https://python.langchain.com/docs/integrations/vectorstores/azuresearch"
+    },
+    "Cassandra": {
+        "Cassandra": "https://python.langchain.com/docs/integrations/vectorstores/cassandra"
+    },
+    "USearch": {
+        "USearch": "https://python.langchain.com/docs/integrations/vectorstores/usearch"
+    },
+    "ElasticVectorSearch": {
+        "Elasticsearch": "https://python.langchain.com/docs/integrations/vectorstores/elasticsearch",
+        "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs"
+    },
+    "DocArrayInMemorySearch": {
+        "DocArrayInMemorySearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_in_memory"
+    },
+    "PGEmbedding": {
+        "pg_embedding": "https://python.langchain.com/docs/integrations/vectorstores/pgembedding"
+    },
+    "MongoDBAtlasVectorSearch": {
+        "MongoDB Atlas": "https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas"
+    },
+    "Meilisearch": {
+        "Meilisearch": "https://python.langchain.com/docs/integrations/vectorstores/meilisearch"
+    },
+    "AsyncChromiumLoader": {
+        "Beautiful Soup": "https://python.langchain.com/docs/integrations/document_transformers/beautiful_soup",
+        "Async Chromium": "https://python.langchain.com/docs/integrations/document_loaders/async_chromium",
+        "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping"
+    },
+    "BeautifulSoupTransformer": {
+        "Beautiful Soup": "https://python.langchain.com/docs/integrations/document_transformers/beautiful_soup",
+        "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping"
+    },
+    "NucliaTextTransformer": {
+        "Nuclia Understanding API document transformer": "https://python.langchain.com/docs/integrations/document_transformers/nuclia_transformer"
+    },
+    "create_metadata_tagger": {
+        "OpenAI Functions Metadata Tagger": "https://python.langchain.com/docs/integrations/document_transformers/openai_metadata_tagger"
+    },
+    "AsyncHtmlLoader": {
+        "html2text": "https://python.langchain.com/docs/integrations/document_transformers/html2text",
+        "AsyncHtmlLoader": "https://python.langchain.com/docs/integrations/document_loaders/async_html",
+        "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping"
+    },
+    "Html2TextTransformer": {
+        "html2text": "https://python.langchain.com/docs/integrations/document_transformers/html2text",
+        "Async Chromium": "https://python.langchain.com/docs/integrations/document_loaders/async_chromium",
+        "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping"
+    },
+    "DoctranPropertyExtractor": {
+        "Doctran Extract Properties": "https://python.langchain.com/docs/integrations/document_transformers/doctran_extract_properties"
+    },
+    "DoctranQATransformer": {
+        "Doctran Interrogate Documents": "https://python.langchain.com/docs/integrations/document_transformers/doctran_interrogate_document"
+    },
+    "DoctranTextTranslator": {
+        "Doctran Translate Documents": "https://python.langchain.com/docs/integrations/document_transformers/doctran_translate_document"
+    },
+    "SnowflakeLoader": {
+        "Snowflake": "https://python.langchain.com/docs/integrations/document_loaders/snowflake"
+    },
+    "AcreomLoader": {
+        "acreom": "https://python.langchain.com/docs/integrations/document_loaders/acreom"
+    },
+    "ArcGISLoader": {
+        "ArcGIS": "https://python.langchain.com/docs/integrations/document_loaders/arcgis"
+    },
+    "UnstructuredCSVLoader": {
+        "CSV": "https://python.langchain.com/docs/integrations/document_loaders/csv"
+    },
+    "XorbitsLoader": {
+        "Xorbits Pandas DataFrame": "https://python.langchain.com/docs/integrations/document_loaders/xorbits"
+    },
+    "UnstructuredEmailLoader": {
+        "Email": "https://python.langchain.com/docs/integrations/document_loaders/email"
+    },
+    "OutlookMessageLoader": {
+        "Email": "https://python.langchain.com/docs/integrations/document_loaders/email"
+    },
+    "BlockchainDocumentLoader": {
+        "Blockchain": "https://python.langchain.com/docs/integrations/document_loaders/blockchain"
+    },
+    "BlockchainType": {
+        "Blockchain": "https://python.langchain.com/docs/integrations/document_loaders/blockchain"
+    },
+    "RecursiveUrlLoader": {
+        "Recursive URL Loader": "https://python.langchain.com/docs/integrations/document_loaders/recursive_url_loader"
+    },
+    "JoplinLoader": {
+        "Joplin": "https://python.langchain.com/docs/integrations/document_loaders/joplin"
+    },
+    "AirbyteSalesforceLoader": {
+        "Airbyte Salesforce": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_salesforce"
+    },
+    "EtherscanLoader": {
+        "Etherscan Loader": "https://python.langchain.com/docs/integrations/document_loaders/Etherscan"
+    },
+    "AirbyteCDKLoader": {
+        "Airbyte CDK": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_cdk"
+    },
+    "Docx2txtLoader": {
+        "Microsoft Word": "https://python.langchain.com/docs/integrations/document_loaders/microsoft_word"
+    },
+    "OpenAIWhisperParser": {
+        "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio"
+    },
+    "YoutubeAudioLoader": {
+        "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio"
+    },
+    "UnstructuredURLLoader": {
+        "URL": "https://python.langchain.com/docs/integrations/document_loaders/url"
+    },
+    "SeleniumURLLoader": {
+        "URL": "https://python.langchain.com/docs/integrations/document_loaders/url"
+    },
+    "PlaywrightURLLoader": {
+        "URL": "https://python.langchain.com/docs/integrations/document_loaders/url"
+    },
+    "AirbyteStripeLoader": {
+        "Airbyte Stripe": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_stripe"
+    },
+    "OpenCityDataLoader": {
+        "Geopandas": "https://python.langchain.com/docs/integrations/document_loaders/geopandas",
+        "Open City Data": "https://python.langchain.com/docs/integrations/document_loaders/open_city_data"
+    },
+    "GeoDataFrameLoader": {
+        "Geopandas": "https://python.langchain.com/docs/integrations/document_loaders/geopandas"
+    },
+    "OBSFileLoader": {
+        "Huawei OBS File": "https://python.langchain.com/docs/integrations/document_loaders/huawei_obs_file"
+    },
+    "HuggingFaceDatasetLoader": {
+        "HuggingFace dataset": "https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset"
+    },
+    "DropboxLoader": {
+        "Dropbox": "https://python.langchain.com/docs/integrations/document_loaders/dropbox"
+    },
+    "AirbyteTypeformLoader": {
+        "Airbyte Typeform": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_typeform"
+    },
+    "MHTMLLoader": {
+        "mhtml": "https://python.langchain.com/docs/integrations/document_loaders/mhtml"
+    },
+    "NewsURLLoader": {
+        "News URL": "https://python.langchain.com/docs/integrations/document_loaders/news"
+    },
+    "ImageCaptionLoader": {
+        "Image captions": "https://python.langchain.com/docs/integrations/document_loaders/image_captions"
+    },
+    "UnstructuredRSTLoader": {
+        "RST": "https://python.langchain.com/docs/integrations/document_loaders/rst"
+    },
+    "ConversationBufferWindowMemory": {
+        "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "Meta-Prompt": "https://python.langchain.com/docs/use_cases/autonomous_agents/meta_prompt",
+        "Create ChatGPT clone": "https://python.langchain.com/docs/modules/agents/how_to/chatgpt_clone"
+    },
+    "UnstructuredImageLoader": {
+        "Images": "https://python.langchain.com/docs/integrations/document_loaders/image"
+    },
+    "NucliaLoader": {
+        "Nuclia Understanding API document loader": "https://python.langchain.com/docs/integrations/document_loaders/nuclia"
+    },
+    "TencentCOSFileLoader": {
+        "Tencent COS File": "https://python.langchain.com/docs/integrations/document_loaders/tencent_cos_file"
+    },
+    "TomlLoader": {
+        "TOML": "https://python.langchain.com/docs/integrations/document_loaders/toml"
+    },
+    "UnstructuredAPIFileLoader": {
+        "Unstructured File": "https://python.langchain.com/docs/integrations/document_loaders/unstructured_file"
+    },
+    "PsychicLoader": {
+        "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic"
+    },
+    "TencentCOSDirectoryLoader": {
+        "Tencent COS Directory": "https://python.langchain.com/docs/integrations/document_loaders/tencent_cos_directory"
+    },
+    "GitHubIssuesLoader": {
+        "GitHub": "https://python.langchain.com/docs/integrations/document_loaders/github"
+    },
+    "UnstructuredOrgModeLoader": {
+        "Org-mode": "https://python.langchain.com/docs/integrations/document_loaders/org_mode"
+    },
+    "LarkSuiteDocLoader": {
+        "LarkSuite (FeiShu)": "https://python.langchain.com/docs/integrations/document_loaders/larksuite"
+    },
+    "load_summarize_chain": {
+        "LarkSuite (FeiShu)": "https://python.langchain.com/docs/integrations/document_loaders/larksuite",
+        "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching",
+        "Summarization": "https://python.langchain.com/docs/use_cases/summarization"
+    },
+    "IuguLoader": {
+        "Iugu": "https://python.langchain.com/docs/integrations/document_loaders/iugu"
+    },
+    "UnstructuredEPubLoader": {
+        "EPub ": "https://python.langchain.com/docs/integrations/document_loaders/epub"
+    },
+    "AttributeInfo": {
+        "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami",
+        "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA",
+        "Weaviate self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query",
+        "Elasticsearch self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query",
+        "Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query",
+        "Self-querying with Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone",
+        "Self-querying with MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query",
+        "Deep Lake self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query",
+        "Qdrant self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query"
+    },
+    "UnstructuredFileIOLoader": {
+        "Google Drive": "https://python.langchain.com/docs/integrations/document_loaders/google_drive"
+    },
+    "BrowserlessLoader": {
+        "Browserless": "https://python.langchain.com/docs/integrations/document_loaders/browserless"
+    },
+    "BibtexLoader": {
+        "BibTeX": "https://python.langchain.com/docs/integrations/document_loaders/bibtex"
+    },
+    "AirbyteHubspotLoader": {
+        "Airbyte Hubspot": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_hubspot"
+    },
+    "AirbyteGongLoader": {
+        "Airbyte Gong": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_gong"
+    },
+    "ReadTheDocsLoader": {
+        "ReadTheDocs Documentation": "https://python.langchain.com/docs/integrations/document_loaders/readthedocs_documentation"
+    },
+    "DataFrameLoader": {
+        "Pandas DataFrame": "https://python.langchain.com/docs/integrations/document_loaders/pandas_dataframe"
+    },
+    "GoogleApiClient": {
+        "YouTube transcripts": "https://python.langchain.com/docs/integrations/document_loaders/youtube_transcript"
+    },
+    "ConcurrentLoader": {
+        "Concurrent Loader": "https://python.langchain.com/docs/integrations/document_loaders/concurrent"
+    },
+    "RSSFeedLoader": {
+        "RSS Feeds": "https://python.langchain.com/docs/integrations/document_loaders/rss"
+    },
+    "NotebookLoader": {
+        "Jupyter Notebook": "https://python.langchain.com/docs/integrations/document_loaders/jupyter_notebook",
+        "Notebook": "https://python.langchain.com/docs/integrations/document_loaders/example_data/notebook"
+    },
+    "UnstructuredTSVLoader": {
+        "TSV": "https://python.langchain.com/docs/integrations/document_loaders/tsv"
+    },
+    "UnstructuredODTLoader": {
+        "Open Document Format (ODT)": "https://python.langchain.com/docs/integrations/document_loaders/odt"
+    },
+    "EmbaasBlobLoader": {
+        "Embaas": "https://python.langchain.com/docs/integrations/document_loaders/embaas"
+    },
+    "Blob": {
+        "Embaas": "https://python.langchain.com/docs/integrations/document_loaders/embaas"
+    },
+    "EmbaasLoader": {
+        "Embaas": "https://python.langchain.com/docs/integrations/document_loaders/embaas"
+    },
+    "UnstructuredXMLLoader": {
+        "XML": "https://python.langchain.com/docs/integrations/document_loaders/xml"
+    },
+    "MaxComputeLoader": {
+        "Alibaba Cloud MaxCompute": "https://python.langchain.com/docs/integrations/document_loaders/alibaba_cloud_maxcompute"
+    },
+    "CubeSemanticLoader": {
+        "Cube Semantic Layer": "https://python.langchain.com/docs/integrations/document_loaders/cube_semantic"
+    },
+    "UnstructuredExcelLoader": {
+        "Microsoft Excel": "https://python.langchain.com/docs/integrations/document_loaders/excel"
+    },
+    "Language": {
+        "Source Code": "https://python.langchain.com/docs/integrations/document_loaders/source_code",
+        "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding"
+    },
+    "LanguageParser": {
+        "Source Code": "https://python.langchain.com/docs/integrations/document_loaders/source_code",
+        "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding"
+    },
+    "SRTLoader": {
+        "Subtitle": "https://python.langchain.com/docs/integrations/document_loaders/subtitle"
+    },
+    "MastodonTootsLoader": {
+        "Mastodon": "https://python.langchain.com/docs/integrations/document_loaders/mastodon"
+    },
+    "AirbyteShopifyLoader": {
+        "Airbyte Shopify": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_shopify"
+    },
+    "MergedDataLoader": {
+        "MergeDocLoader": "https://python.langchain.com/docs/integrations/document_loaders/merge_doc_loader"
+    },
+    "PySparkDataFrameLoader": {
+        "PySpark DataFrame Loader": "https://python.langchain.com/docs/integrations/document_loaders/pyspark_dataframe"
+    },
+    "AirbyteZendeskSupportLoader": {
+        "Airbyte Zendesk Support": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_zendesk_support"
+    },
+    "CoNLLULoader": {
+        "CoNLL-U": "https://python.langchain.com/docs/integrations/document_loaders/conll-u"
+    },
+    "OBSDirectoryLoader": {
+        "Huawei OBS Directory": "https://python.langchain.com/docs/integrations/document_loaders/huawei_obs_directory"
+    },
+    "FaunaLoader": {
+        "Fauna": "https://python.langchain.com/docs/integrations/document_loaders/fauna"
+    },
+    "SitemapLoader": {
+        "Sitemap": "https://python.langchain.com/docs/integrations/document_loaders/sitemap"
+    },
+    "StochasticAI": {
+        "StochasticAI": "https://python.langchain.com/docs/integrations/llms/stochasticai"
+    },
+    "ForefrontAI": {
+        "ForefrontAI": "https://python.langchain.com/docs/integrations/llms/forefrontai_example"
+    },
+    "CerebriumAI": {
+        "CerebriumAI": "https://python.langchain.com/docs/integrations/llms/cerebriumai_example"
+    },
+    "FireworksChat": {
+        "Fireworks": "https://python.langchain.com/docs/integrations/llms/Fireworks"
+    },
+    "OctoAIEndpoint": {
+        "OctoAI Compute Service": "https://python.langchain.com/docs/integrations/llms/octoai"
+    },
+    "Writer": {
+        "Writer": "https://python.langchain.com/docs/integrations/llms/writer"
+    },
+    "TextGen": {
+        "TextGen": "https://python.langchain.com/docs/integrations/llms/textgen"
+    },
+    "MosaicML": {
+        "MosaicML": "https://python.langchain.com/docs/integrations/llms/mosaicml"
+    },
+    "KoboldApiLLM": {
+        "KoboldAI API": "https://python.langchain.com/docs/integrations/llms/koboldai"
+    },
+    "VertexAI": {
+        "Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/llms/google_vertex_ai_palm"
+    },
+    "Ollama": {
+        "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama"
+    },
+    "LLMResult": {
+        "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama",
+        "Async callbacks": "https://python.langchain.com/docs/modules/callbacks/async_callbacks"
+    },
+    "BaseCallbackHandler": {
+        "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama",
+        "Custom callback handlers": "https://python.langchain.com/docs/modules/callbacks/custom_callbacks",
+        "Multiple callback handlers": "https://python.langchain.com/docs/modules/callbacks/multiple_callbacks",
+        "Async callbacks": "https://python.langchain.com/docs/modules/callbacks/async_callbacks",
+        "Streaming final agent output": "https://python.langchain.com/docs/modules/agents/how_to/streaming_stdout_final_only"
+    },
+    "TitanTakeoff": {
+        "Titan Takeoff": "https://python.langchain.com/docs/integrations/llms/titan_takeoff"
+    },
+    "GooseAI": {
+        "GooseAI": "https://python.langchain.com/docs/integrations/llms/gooseai_example"
+    },
+    "Databricks": {
+        "Databricks": "https://python.langchain.com/docs/integrations/llms/databricks"
+    },
+    "EdenAI": {
+        "Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai"
+    },
+    "VLLM": {
+        "vLLM": "https://python.langchain.com/docs/integrations/llms/vllm"
+    },
+    "VLLMOpenAI": {
+        "vLLM": "https://python.langchain.com/docs/integrations/llms/vllm"
+    },
+    "MapReduceChain": {
+        "Manifest": "https://python.langchain.com/docs/integrations/llms/manifest",
+        "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching",
+        "Summarization": "https://python.langchain.com/docs/use_cases/summarization"
+    },
+    "ModelLaboratory": {
+        "Manifest": "https://python.langchain.com/docs/integrations/llms/manifest",
+        "Model comparison": "https://python.langchain.com/docs/guides/model_laboratory"
+    },
+    "Tongyi": {
+        "Tongyi Qwen": "https://python.langchain.com/docs/integrations/llms/tongyi"
+    },
+    "InMemoryCache": {
+        "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"
+    },
+    "SQLiteCache": {
+        "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"
+    },
+    "GPTCache": {
+        "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"
+    },
+    "SQLAlchemyCache": {
+        "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"
+    },
+    "AzureMLOnlineEndpoint": {
+        "AzureML Online Endpoint": "https://python.langchain.com/docs/integrations/llms/azureml_endpoint_example"
+    },
+    "ContentFormatterBase": {
+        "AzureML Online Endpoint": "https://python.langchain.com/docs/integrations/llms/azureml_endpoint_example"
+    },
+    "DollyContentFormatter": {
+        "AzureML Online Endpoint": "https://python.langchain.com/docs/integrations/llms/azureml_endpoint_example"
+    },
+    "load_llm": {
+        "AzureML Online Endpoint": "https://python.langchain.com/docs/integrations/llms/azureml_endpoint_example",
+        "Serialization": "https://python.langchain.com/docs/modules/model_io/models/llms/llm_serialization"
+    },
+    "AzureMLEndpointClient": {
+        "AzureML Online Endpoint": "https://python.langchain.com/docs/integrations/llms/azureml_endpoint_example"
+    },
+    "OpenLM": {
+        "OpenLM": "https://python.langchain.com/docs/integrations/llms/openlm"
+    },
+    "HuggingFaceTextGenInference": {
+        "Huggingface TextGen Inference": "https://python.langchain.com/docs/integrations/llms/huggingface_textgen_inference"
+    },
+    "ChatGLM": {
+        "ChatGLM": "https://python.langchain.com/docs/integrations/llms/chatglm"
+    },
+    "Replicate": {
+        "Replicate": "https://python.langchain.com/docs/integrations/llms/replicate"
+    },
+    "StrOutputParser": {
+        "Fallbacks": "https://python.langchain.com/docs/guides/fallbacks",
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"
+    },
+    "DatetimeOutputParser": {
+        "Fallbacks": "https://python.langchain.com/docs/guides/fallbacks",
+        "Datetime parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/datetime"
+    },
+    "tracing_v2_enabled": {
+        "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough"
+    },
+    "wait_for_all_tracers": {
+        "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough"
+    },
+    "EvaluatorType": {
+        "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough",
+        "Criteria Evaluation": "https://python.langchain.com/docs/guides/evaluation/string/criteria_eval_chain"
+    },
+    "RunEvalConfig": {
+        "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough"
+    },
+    "arun_on_dataset": {
+        "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough"
+    },
+    "run_on_dataset": {
+        "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough"
+    },
+    "openai": {
+        "OpenAI Adapter": "https://python.langchain.com/docs/guides/adapters/openai"
+    },
+    "load_evaluator": {
+        "Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons",
+        "Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval",
+        "Pairwise Embedding Distance ": "https://python.langchain.com/docs/guides/evaluation/comparison/pairwise_embedding_distance",
+        "Pairwise String Comparison": "https://python.langchain.com/docs/guides/evaluation/comparison/pairwise_string",
+        "Criteria Evaluation": "https://python.langchain.com/docs/guides/evaluation/string/criteria_eval_chain",
+        "String Distance": "https://python.langchain.com/docs/guides/evaluation/string/string_distance",
+        "Embedding Distance": "https://python.langchain.com/docs/guides/evaluation/string/embedding_distance"
+    },
+    "load_dataset": {
+        "Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons"
+    },
+    "AgentAction": {
+        "Custom Trajectory Evaluator": "https://python.langchain.com/docs/guides/evaluation/trajectory/custom",
+        "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai",
+        "Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent",
+        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
+        "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval",
+        "Multiple callback handlers": "https://python.langchain.com/docs/modules/callbacks/multiple_callbacks",
+        "Custom multi-action agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_multi_action_agent",
+        "Custom agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent",
+        "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval"
+    },
+    "AgentTrajectoryEvaluator": {
+        "Custom Trajectory Evaluator": "https://python.langchain.com/docs/guides/evaluation/trajectory/custom"
+    },
+    "EmbeddingDistance": {
+        "Pairwise Embedding Distance ": "https://python.langchain.com/docs/guides/evaluation/comparison/pairwise_embedding_distance",
+        "Embedding Distance": "https://python.langchain.com/docs/guides/evaluation/string/embedding_distance"
+    },
+    "PairwiseStringEvaluator": {
+        "Custom Pairwise Evaluator": "https://python.langchain.com/docs/guides/evaluation/comparison/custom"
+    },
+    "Criteria": {
+        "Criteria Evaluation": "https://python.langchain.com/docs/guides/evaluation/string/criteria_eval_chain"
+    },
+    "StringEvaluator": {
+        "Custom String Evaluator": "https://python.langchain.com/docs/guides/evaluation/string/custom"
+    },
+    "StringDistance": {
+        "String Distance": "https://python.langchain.com/docs/guides/evaluation/string/string_distance"
+    },
+    "JsonOutputFunctionsParser": {
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"
+    },
+    "JsonKeyOutputFunctionsParser": {
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"
+    },
+    "RunnablePassthrough": {
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"
+    },
+    "RunnableMap": {
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
+        "Interface": "https://python.langchain.com/docs/guides/expression_language/interface"
+    },
+    "format_document": {
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"
+    },
+    "create_tagging_chain_pydantic": {
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
+        "Tagging": "https://python.langchain.com/docs/use_cases/tagging"
+    },
+    "RouterRunnable": {
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"
+    },
+    "RunnableLambda": {
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook"
+    },
+    "MessagesPlaceholder": {
+        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents",
+        "How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory",
+        "Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions",
+        "Types of `MessagePromptTemplate`": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/msg_prompt_templates"
+    },
+    "WebResearchRetriever": {
+        "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping",
+        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"
+    },
+    "ConversationSummaryMemory": {
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding",
+        "How to use multiple memory classes in the same chain": "https://python.langchain.com/docs/modules/memory/multiple_memory"
+    },
+    "ConversationSummaryBufferMemory": {
+        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
+        "ConversationSummaryBufferMemory": "https://python.langchain.com/docs/modules/memory/types/summary_buffer"
+    },
+    "StuffDocumentsChain": {
+        "Summarization": "https://python.langchain.com/docs/use_cases/summarization",
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
+        "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder"
+    },
+    "ReduceDocumentsChain": {
+        "Summarization": "https://python.langchain.com/docs/use_cases/summarization"
+    },
+    "MapReduceDocumentsChain": {
+        "Summarization": "https://python.langchain.com/docs/use_cases/summarization"
+    },
+    "create_extraction_chain_pydantic": {
+        "Extraction": "https://python.langchain.com/docs/use_cases/extraction"
+    },
+    "PydanticOutputParser": {
+        "Extraction": "https://python.langchain.com/docs/use_cases/extraction",
+        "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever",
+        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research",
+        "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry",
+        "Pydantic (JSON) parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/pydantic"
+    },
+    "get_openapi_chain": {
+        "Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis"
+    },
+    "APIChain": {
+        "Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis"
+    },
+    "open_meteo_docs": {
+        "Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis"
+    },
+    "tmdb_docs": {
+        "Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis"
+    },
+    "podcast_docs": {
+        "Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis"
+    },
+    "LLMRequestsChain": {
+        "Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis"
+    },
+    "create_sql_query_chain": {
+        "SQL": "https://python.langchain.com/docs/use_cases/sql",
+        "Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval"
+    },
+    "ElasticsearchDatabaseChain": {
+        "SQL": "https://python.langchain.com/docs/use_cases/sql"
+    },
+    "FileChatMessageHistory": {
+        "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt"
+    },
+    "BaseLLM": {
+        "BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/agents/baby_agi",
+        "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent",
+        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context"
+    },
+    "VectorStore": {
+        "BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/agents/baby_agi",
+        "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent"
+    },
+    "Chain": {
+        "BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/agents/baby_agi",
+        "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent",
+        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
+        "Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain"
+    },
+    "BaseTool": {
+        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times",
+        "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools",
+        "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore",
+        "Custom functions with OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/custom-functions-with-openai-functions-agent"
+    },
+    "BaseCombineDocumentsChain": {
+        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times"
+    },
+    "MultiQueryRetriever": {
+        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
+        "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever"
+    },
+    "MarkdownHeaderTextSplitter": {
+        "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA",
+        "MarkdownHeaderTextSplitter": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/markdown_header_metadata"
+    },
+    "create_retriever_tool": {
+        "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents"
+    },
+    "create_conversational_retrieval_agent": {
+        "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents"
+    },
+    "AgentTokenBufferMemory": {
+        "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents"
+    },
+    "create_citation_fuzzy_match_chain": {
+        "Cite sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/qa_citations"
+    },
+    "BaseRetriever": {
+        "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare"
+    },
+    "AsyncCallbackManagerForRetrieverRun": {
+        "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare"
+    },
+    "CallbackManagerForRetrieverRun": {
+        "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare"
+    },
+    "FlareChain": {
+        "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare"
+    },
+    "HypotheticalDocumentEmbedder": {
+        "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde"
+    },
+    "create_qa_with_sources_chain": {
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa"
+    },
+    "create_qa_with_structure_chain": {
+        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa"
+    },
+    "LLMSingleActionAgent": {
+        "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai",
+        "Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent",
+        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
+        "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval",
+        "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval"
+    },
+    "AgentOutputParser": {
+        "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai",
+        "Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent",
+        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
+        "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval",
+        "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval"
+    },
+    "StringPromptTemplate": {
+        "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai",
+        "Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent",
+        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
+        "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval",
+        "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval",
+        "Custom prompt template": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/custom_prompt_template",
+        "Connecting to a Feature Store": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/connecting_to_a_feature_store"
+    },
+    "AgentFinish": {
+        "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai",
+        "Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent",
+        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
+        "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval",
+        "Custom multi-action agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_multi_action_agent",
+        "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter",
+        "Custom agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent",
+        "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval"
+    },
+    "AIPlugin": {
+        "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai",
+        "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval"
+    },
+    "SteamshipImageGenerationTool": {
+        "Multi-modal outputs: Image & Text": "https://python.langchain.com/docs/use_cases/multi_modal/image_agent"
+    },
+    "BaseMessage": {
+        "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/agent_simulations/camel_role_playing",
+        "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_bidding",
+        "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian",
+        "Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/multi_player_dnd",
+        "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/agent_simulations/gymnasium",
+        "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools"
+    },
+    "NeptuneGraph": {
+        "Neptune Open Cypher QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/neptune_cypher_qa"
+    },
+    "NeptuneOpenCypherQAChain": {
+        "Neptune Open Cypher QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/neptune_cypher_qa"
+    },
+    "NebulaGraphQAChain": {
+        "NebulaGraphQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_nebula_qa"
+    },
+    "NebulaGraph": {
+        "NebulaGraphQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_nebula_qa"
+    },
+    "KuzuGraph": {
+        "KuzuQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_kuzu_qa"
+    },
+    "KuzuQAChain": {
+        "KuzuQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_kuzu_qa"
+    },
+    "HugeGraphQAChain": {
+        "HugeGraph QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_hugegraph_qa"
+    },
+    "HugeGraph": {
+        "HugeGraph QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_hugegraph_qa"
+    },
+    "GraphSparqlQAChain": {
+        "GraphSparqlQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_sparql_qa"
+    },
+    "RdfGraph": {
+        "GraphSparqlQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_sparql_qa"
+    },
+    "ArangoGraph": {
+        "ArangoDB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_arangodb_qa"
+    },
+    "ArangoGraphQAChain": {
+        "ArangoDB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_arangodb_qa"
+    },
+    "GraphIndexCreator": {
+        "Graph QA": "https://python.langchain.com/docs/use_cases/more/graph/graph_qa"
+    },
+    "GraphQAChain": {
+        "Graph QA": "https://python.langchain.com/docs/use_cases/more/graph/graph_qa"
+    },
+    "NetworkxEntityGraph": {
+        "Graph QA": "https://python.langchain.com/docs/use_cases/more/graph/graph_qa"
+    },
+    "GraphCypherQAChain": {
+        "Graph DB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_cypher_qa"
+    },
+    "Neo4jGraph": {
+        "Graph DB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_cypher_qa"
+    },
+    "LLMBashChain": {
+        "Bash chain": "https://python.langchain.com/docs/use_cases/more/code_writing/llm_bash"
+    },
+    "BashOutputParser": {
+        "Bash chain": "https://python.langchain.com/docs/use_cases/more/code_writing/llm_bash"
+    },
+    "BashProcess": {
+        "Bash chain": "https://python.langchain.com/docs/use_cases/more/code_writing/llm_bash"
+    },
+    "LLMSymbolicMathChain": {
+        "LLM Symbolic Math ": "https://python.langchain.com/docs/use_cases/more/code_writing/llm_symbolic_math"
+    },
+    "LLMSummarizationCheckerChain": {
+        "Summarization checker chain": "https://python.langchain.com/docs/use_cases/more/self_check/llm_summarization_checker"
+    },
+    "LLMCheckerChain": {
+        "Self-checking chain": "https://python.langchain.com/docs/use_cases/more/self_check/llm_checker"
+    },
+    "RegexParser": {
+        "Multi-Agent Simulated Environment: Petting Zoo": "https://python.langchain.com/docs/use_cases/agent_simulations/petting_zoo",
+        "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_bidding",
+        "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian",
+        "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/agent_simulations/gymnasium"
+    },
+    "TimeWeightedVectorStoreRetriever": {
+        "Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/agent_simulations/characters"
+    },
+    "InMemoryStore": {
+        "Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings",
+        "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever"
+    },
+    "LocalFileStore": {
+        "Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings"
+    },
+    "RedisStore": {
+        "Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings"
+    },
+    "CacheBackedEmbeddings": {
+        "Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings"
+    },
+    "EnsembleRetriever": {
+        "Ensemble Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/ensemble"
+    },
+    "ParentDocumentRetriever": {
+        "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever"
+    },
+    "SentenceTransformersTokenTextSplitter": {
+        "Split by tokens ": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/split_by_token"
+    },
+    "NLTKTextSplitter": {
+        "Split by tokens ": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/split_by_token"
+    },
+    "ChatMessageHistory": {
+        "Adding Message Memory backed by a database to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db"
+    },
+    "BaseMemory": {
+        "How to create a custom Memory class": "https://python.langchain.com/docs/modules/memory/custom_memory"
+    },
+    "ConversationKGMemory": {
+        "Conversation Knowledge Graph Memory": "https://python.langchain.com/docs/modules/memory/types/kg"
+    },
+    "ConversationTokenBufferMemory": {
+        "ConversationTokenBufferMemory": "https://python.langchain.com/docs/modules/memory/types/token_buffer"
+    },
+    "tracing_enabled": {
+        "Multiple callback handlers": "https://python.langchain.com/docs/modules/callbacks/multiple_callbacks"
+    },
+    "FileCallbackHandler": {
+        "Logging to file": "https://python.langchain.com/docs/modules/callbacks/filecallbackhandler"
+    },
+    "AsyncCallbackHandler": {
+        "Async callbacks": "https://python.langchain.com/docs/modules/callbacks/async_callbacks"
+    },
+    "StructuredTool": {
+        "Multi-Input Tools": "https://python.langchain.com/docs/modules/agents/tools/multi_input_tool",
+        "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools"
+    },
+    "AsyncCallbackManagerForToolRun": {
+        "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools"
+    },
+    "CallbackManagerForToolRun": {
+        "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools"
+    },
+    "ToolException": {
+        "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools"
+    },
+    "format_tool_to_openai_function": {
+        "Tools as OpenAI Functions": "https://python.langchain.com/docs/modules/agents/tools/tools_as_openai_functions"
+    },
+    "RequestsGetTool": {
+        "Tool Input Schema": "https://python.langchain.com/docs/modules/agents/tools/tool_input_validation"
+    },
+    "HumanApprovalCallbackHandler": {
+        "Human-in-the-loop Tool Validation": "https://python.langchain.com/docs/modules/agents/tools/human_approval"
+    },
+    "XMLAgent": {
+        "XML Agent": "https://python.langchain.com/docs/modules/agents/agent_types/xml_agent"
+    },
+    "DocstoreExplorer": {
+        "ReAct document store": "https://python.langchain.com/docs/modules/agents/agent_types/react_docstore"
+    },
+    "ReadOnlySharedMemory": {
+        "Shared memory across agents and tools": "https://python.langchain.com/docs/modules/agents/how_to/sharedmemory_for_tools"
+    },
+    "BaseMultiActionAgent": {
+        "Custom multi-action agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_multi_action_agent"
+    },
+    "FinalStreamingStdOutCallbackHandler": {
+        "Streaming final agent output": "https://python.langchain.com/docs/modules/agents/how_to/streaming_stdout_final_only"
+    },
+    "LangChainTracer": {
+        "Async API": "https://python.langchain.com/docs/modules/agents/how_to/async_agent"
+    },
+    "BaseSingleActionAgent": {
+        "Custom agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent"
+    },
+    "HumanInputChatModel": {
+        "Human input Chat Model": "https://python.langchain.com/docs/modules/model_io/models/chat/human_input_chat_model"
+    },
+    "FakeListLLM": {
+        "Fake LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/fake_llm"
+    },
+    "CallbackManagerForLLMRun": {
+        "Custom LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/custom_llm"
+    },
+    "LLM": {
+        "Custom LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/custom_llm"
+    },
+    "HumanInputLLM": {
+        "Human input LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/human_input_llm"
+    },
+    "OutputFixingParser": {
+        "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry"
+    },
+    "RetryOutputParser": {
+        "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry"
+    },
+    "RetryWithErrorOutputParser": {
+        "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry"
+    },
+    "EnumOutputParser": {
+        "Enum parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/enum"
+    },
+    "MaxMarginalRelevanceExampleSelector": {
+        "Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr"
+    },
+    "SemanticSimilarityExampleSelector": {
+        "Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr",
+        "Few shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat"
+    },
+    "FewShotPromptTemplate": {
+        "Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr",
+        "Select by n-gram overlap": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/ngram_overlap"
+    },
+    "BaseExampleSelector": {
+        "Custom example selector": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/custom_example_selector"
+    },
+    "NGramOverlapExampleSelector": {
+        "Select by n-gram overlap": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/ngram_overlap"
+    },
+    "FewShotChatMessagePromptTemplate": {
+        "Few shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat"
+    },
+    "load_prompt": {
+        "Serialization": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompt_serialization"
+    },
+    "ChatMessagePromptTemplate": {
+        "Types of `MessagePromptTemplate`": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/msg_prompt_templates"
+    },
+    "MultiPromptChain": {
+        "Router": "https://python.langchain.com/docs/modules/chains/foundational/router"
+    },
+    "LLMRouterChain": {
+        "Router": "https://python.langchain.com/docs/modules/chains/foundational/router"
+    },
+    "RouterOutputParser": {
+        "Router": "https://python.langchain.com/docs/modules/chains/foundational/router"
+    },
+    "EmbeddingRouterChain": {
+        "Router": "https://python.langchain.com/docs/modules/chains/foundational/router"
+    },
+    "BaseLanguageModel": {
+        "Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain"
+    },
+    "AsyncCallbackManagerForChainRun": {
+        "Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain"
+    },
+    "CallbackManagerForChainRun": {
+        "Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain"
+    },
+    "BasePromptTemplate": {
+        "Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain"
+    },
+    "load_chain": {
+        "Serialization": "https://python.langchain.com/docs/modules/chains/how_to/serialization",
+        "Loading from LangChainHub": "https://python.langchain.com/docs/modules/chains/how_to/from_hub"
+    },
+    "create_openai_fn_chain": {
+        "Using OpenAI functions": "https://python.langchain.com/docs/modules/chains/how_to/openai_functions"
+    },
+    "create_structured_output_chain": {
+        "Using OpenAI functions": "https://python.langchain.com/docs/modules/chains/how_to/openai_functions"
+    }
+}
\ No newline at end of file