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3420 lines
237 KiB
JSON
3420 lines
237 KiB
JSON
{
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"HuggingFaceBgeEmbeddings": {
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"BGE Hugging Face Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/bge_huggingface"
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},
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"XinferenceEmbeddings": {
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"Xorbits inference (Xinference)": "https://python.langchain.com/docs/integrations/text_embedding/xinference"
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},
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"DeepInfraEmbeddings": {
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"DeepInfra": "https://python.langchain.com/docs/integrations/text_embedding/deepinfra"
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},
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"HuggingFaceEmbeddings": {
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"Hugging Face Hub": "https://python.langchain.com/docs/integrations/text_embedding/huggingfacehub",
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"Sentence Transformers Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/sentence_transformers",
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"LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever",
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"Hugging Face": "https://python.langchain.com/docs/integrations/providers/huggingface",
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"ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann",
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"Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy",
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"Pairwise Embedding Distance ": "https://python.langchain.com/docs/guides/evaluation/comparison/pairwise_embedding_distance",
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"Embedding Distance": "https://python.langchain.com/docs/guides/evaluation/string/embedding_distance",
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"Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder"
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},
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"GPT4AllEmbeddings": {
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"GPT4All": "https://python.langchain.com/docs/integrations/text_embedding/gpt4all",
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"Ollama": "https://python.langchain.com/docs/integrations/llms/ollama",
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"Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa",
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"WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"
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},
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"MosaicMLInstructorEmbeddings": {
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"MosaicML embeddings": "https://python.langchain.com/docs/integrations/text_embedding/mosaicml"
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},
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"OpenAIEmbeddings": {
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"OpenAI": "https://python.langchain.com/docs/integrations/providers/openai",
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"AzureOpenAI": "https://python.langchain.com/docs/integrations/text_embedding/azureopenai",
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"RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase",
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"Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker",
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"kNN": "https://python.langchain.com/docs/integrations/retrievers/knn",
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"DocArray Retriever": "https://python.langchain.com/docs/integrations/retrievers/docarray_retriever",
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"SVM": "https://python.langchain.com/docs/integrations/retrievers/svm",
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"Pinecone Hybrid Search": "https://python.langchain.com/docs/integrations/retrievers/pinecone_hybrid_search",
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"LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever",
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"Azure OpenAI": "https://python.langchain.com/docs/integrations/providers/azure_openai",
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"Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit",
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"Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore",
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"LanceDB": "https://python.langchain.com/docs/integrations/vectorstores/lancedb",
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"Weaviate": "https://python.langchain.com/docs/integrations/vectorstores/weaviate",
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"Xata": "https://python.langchain.com/docs/integrations/vectorstores/xata",
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"Redis": "https://python.langchain.com/docs/integrations/vectorstores/redis",
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"PGVector": "https://python.langchain.com/docs/integrations/vectorstores/pgvector",
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"Rockset": "https://python.langchain.com/docs/integrations/vectorstores/rockset",
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"Dingo": "https://python.langchain.com/docs/integrations/vectorstores/dingo",
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"Zilliz": "https://python.langchain.com/docs/integrations/vectorstores/zilliz",
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"SingleStoreDB": "https://python.langchain.com/docs/integrations/vectorstores/singlestoredb",
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"Typesense": "https://python.langchain.com/docs/integrations/vectorstores/typesense",
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"Atlas": "https://python.langchain.com/docs/integrations/vectorstores/atlas",
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"Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake",
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"Chroma": "https://python.langchain.com/docs/integrations/vectorstores/chroma",
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"Alibaba Cloud OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/alibabacloud_opensearch",
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"StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks",
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"scikit-learn": "https://python.langchain.com/docs/integrations/vectorstores/sklearn",
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"DocArrayHnswSearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_hnsw",
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"MyScale": "https://python.langchain.com/docs/integrations/vectorstores/myscale",
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"ClickHouse Vector Search": "https://python.langchain.com/docs/integrations/vectorstores/clickhouse",
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"Qdrant": "https://python.langchain.com/docs/integrations/vectorstores/qdrant",
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"Tigris": "https://python.langchain.com/docs/integrations/vectorstores/tigris",
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"Supabase (Postgres)": "https://python.langchain.com/docs/integrations/vectorstores/supabase",
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"OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/opensearch",
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"Pinecone": "https://python.langchain.com/docs/integrations/vectorstores/pinecone",
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"Azure Cognitive Search": "https://python.langchain.com/docs/integrations/vectorstores/azuresearch",
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"Cassandra": "https://python.langchain.com/docs/integrations/vectorstores/cassandra",
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"USearch": "https://python.langchain.com/docs/integrations/vectorstores/usearch",
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"Milvus": "https://python.langchain.com/docs/integrations/vectorstores/milvus",
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"Elasticsearch": "https://python.langchain.com/docs/integrations/vectorstores/elasticsearch",
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"DocArrayInMemorySearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_in_memory",
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"pg_embedding": "https://python.langchain.com/docs/integrations/vectorstores/pgembedding",
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"FAISS": "https://python.langchain.com/docs/integrations/vectorstores/faiss",
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"AnalyticDB": "https://python.langchain.com/docs/integrations/vectorstores/analyticdb",
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"Hologres": "https://python.langchain.com/docs/integrations/vectorstores/hologres",
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"MongoDB Atlas": "https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas",
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"Meilisearch": "https://python.langchain.com/docs/integrations/vectorstores/meilisearch",
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"Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio",
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"Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic",
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"Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami",
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"Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching",
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"Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
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"Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping",
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"Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
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"Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding",
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"AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt",
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"BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/agents/baby_agi",
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"BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent",
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"!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times",
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"QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
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"Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA",
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"Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents",
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"Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation",
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"Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare",
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"Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde",
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"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",
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"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",
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"Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
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"QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat",
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"Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai",
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"SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
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"Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval",
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"Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/agent_simulations/characters",
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"Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings",
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"MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever",
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"Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever",
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"WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research",
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"Weaviate self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query",
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"Elasticsearch self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query",
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"Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query",
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"Self-querying with Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone",
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"Self-querying with MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query",
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"Deep Lake self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query",
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"Qdrant self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query",
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"How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs",
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"Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore",
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"Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval",
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"Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr",
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"Few shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat",
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"Loading from LangChainHub": "https://python.langchain.com/docs/modules/chains/how_to/from_hub"
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},
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"VertexAIEmbeddings": {
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"Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/text_embedding/google_vertex_ai_palm"
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},
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"BedrockEmbeddings": {
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"Bedrock Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/bedrock",
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"Bedrock": "https://python.langchain.com/docs/integrations/providers/bedrock"
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},
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"LlamaCppEmbeddings": {
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"Llama-cpp": "https://python.langchain.com/docs/integrations/text_embedding/llamacpp",
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"Llama.cpp": "https://python.langchain.com/docs/integrations/providers/llamacpp"
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},
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"NLPCloudEmbeddings": {
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"NLP Cloud": "https://python.langchain.com/docs/integrations/text_embedding/nlp_cloud"
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},
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"SpacyEmbeddings": {
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"Spacy Embedding": "https://python.langchain.com/docs/integrations/text_embedding/spacy_embedding"
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},
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"HuggingFaceInstructEmbeddings": {
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"InstructEmbeddings": "https://python.langchain.com/docs/integrations/text_embedding/instruct_embeddings"
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},
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"CohereEmbeddings": {
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"Cohere": "https://python.langchain.com/docs/integrations/providers/cohere",
|
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"How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs",
|
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"Router": "https://python.langchain.com/docs/modules/chains/foundational/router"
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},
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"EdenAiEmbeddings": {
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"EDEN AI": "https://python.langchain.com/docs/integrations/text_embedding/edenai"
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},
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"SentenceTransformerEmbeddings": {
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"Sentence Transformers Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/sentence_transformers",
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"Chroma": "https://python.langchain.com/docs/integrations/vectorstores/chroma"
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},
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"ClarifaiEmbeddings": {
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"Clarifai": "https://python.langchain.com/docs/integrations/providers/clarifai"
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},
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"AwaEmbeddings": {
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"AwaEmbedding": "https://python.langchain.com/docs/integrations/text_embedding/Awa"
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},
|
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"MiniMaxEmbeddings": {
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"MiniMax": "https://python.langchain.com/docs/integrations/text_embedding/minimax",
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"Minimax": "https://python.langchain.com/docs/integrations/providers/minimax"
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},
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"FakeEmbeddings": {
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"Fake Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/fake",
|
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"DocArray Retriever": "https://python.langchain.com/docs/integrations/retrievers/docarray_retriever",
|
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"Vectara": "https://python.langchain.com/docs/integrations/vectorstores/vectara",
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"Tair": "https://python.langchain.com/docs/integrations/vectorstores/tair"
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},
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"ElasticsearchEmbeddings": {
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"Elasticsearch": "https://python.langchain.com/docs/integrations/text_embedding/elasticsearch"
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},
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"SelfHostedEmbeddings": {
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"Self Hosted Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/self-hosted"
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},
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"SelfHostedHuggingFaceEmbeddings": {
|
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"Self Hosted Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/self-hosted"
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},
|
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"SelfHostedHuggingFaceInstructEmbeddings": {
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"Self Hosted Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/self-hosted"
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},
|
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"EmbaasEmbeddings": {
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"Embaas": "https://python.langchain.com/docs/integrations/text_embedding/embaas"
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},
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"JinaEmbeddings": {
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"Jina": "https://python.langchain.com/docs/integrations/providers/jina"
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},
|
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"AlephAlphaAsymmetricSemanticEmbedding": {
|
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"Aleph Alpha": "https://python.langchain.com/docs/integrations/providers/aleph_alpha"
|
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},
|
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"AlephAlphaSymmetricSemanticEmbedding": {
|
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"Aleph Alpha": "https://python.langchain.com/docs/integrations/providers/aleph_alpha"
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},
|
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"DashScopeEmbeddings": {
|
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"DashScope": "https://python.langchain.com/docs/integrations/text_embedding/dashscope",
|
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"DashVector": "https://python.langchain.com/docs/integrations/vectorstores/dashvector"
|
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},
|
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"TensorflowHubEmbeddings": {
|
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"TensorflowHub": "https://python.langchain.com/docs/integrations/text_embedding/tensorflowhub",
|
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"ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann"
|
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},
|
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"ModelScopeEmbeddings": {
|
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"ModelScope": "https://python.langchain.com/docs/integrations/providers/modelscope"
|
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},
|
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"SagemakerEndpointEmbeddings": {
|
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"SageMaker Endpoint Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/sagemaker-endpoint",
|
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"SageMaker Endpoint": "https://python.langchain.com/docs/integrations/providers/sagemaker_endpoint"
|
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},
|
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"EmbeddingsContentHandler": {
|
|
"SageMaker Endpoint Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/sagemaker-endpoint"
|
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},
|
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"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",
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|
"Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami",
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"Ollama": "https://python.langchain.com/docs/integrations/llms/ollama",
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"Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
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"Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping",
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"Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
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"Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding",
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"QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
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|
"Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA",
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"Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa",
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|
"Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation",
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|
"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",
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|
"SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
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"MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever",
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"Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever",
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"WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research",
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"Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query",
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"Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder",
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"How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs",
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|
"Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore",
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|
"Few shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat",
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"Router": "https://python.langchain.com/docs/modules/chains/foundational/router",
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|
"Loading from LangChainHub": "https://python.langchain.com/docs/modules/chains/how_to/from_hub"
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|
},
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|
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"RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase",
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"Wikipedia": "https://python.langchain.com/docs/integrations/retrievers/wikipedia",
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"Arxiv": "https://python.langchain.com/docs/integrations/retrievers/arxiv",
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"ChatGPT Plugins": "https://python.langchain.com/docs/integrations/tools/chatgpt_plugins",
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"Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools",
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"ArXiv API Tool": "https://python.langchain.com/docs/integrations/tools/arxiv",
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"Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search",
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"Shell Tool": "https://python.langchain.com/docs/integrations/tools/bash",
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"Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history",
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"OpenAI": "https://python.langchain.com/docs/integrations/chat/openai",
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"Context": "https://python.langchain.com/docs/integrations/callbacks/context",
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"Label Studio": "https://python.langchain.com/docs/integrations/callbacks/labelstudio",
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"PromptLayer": "https://python.langchain.com/docs/integrations/callbacks/promptlayer",
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"CnosDB": "https://python.langchain.com/docs/integrations/providers/cnosdb",
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"Log10": "https://python.langchain.com/docs/integrations/providers/log10",
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"Flyte": "https://python.langchain.com/docs/integrations/providers/flyte",
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"Arthur": "https://python.langchain.com/docs/integrations/providers/arthur_tracking",
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|
"CSV Agent": "https://python.langchain.com/docs/integrations/toolkits/csv",
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|
"Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit",
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|
"Python Agent": "https://python.langchain.com/docs/integrations/toolkits/python",
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"PowerBI Dataset Agent": "https://python.langchain.com/docs/integrations/toolkits/powerbi",
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"SQL Database Agent": "https://python.langchain.com/docs/integrations/toolkits/sql_database",
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|
"Github Toolkit": "https://python.langchain.com/docs/integrations/toolkits/github",
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"Spark SQL Agent": "https://python.langchain.com/docs/integrations/toolkits/spark_sql",
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|
"Pandas Dataframe Agent": "https://python.langchain.com/docs/integrations/toolkits/pandas",
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|
"OpenAI Functions Metadata Tagger": "https://python.langchain.com/docs/integrations/document_transformers/openai_metadata_tagger",
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|
"Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio",
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"Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma",
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"Fallbacks": "https://python.langchain.com/docs/guides/fallbacks",
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|
"Debugging": "https://python.langchain.com/docs/guides/debugging",
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|
"LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough",
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|
"Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons",
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|
"Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval",
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|
"Custom Trajectory Evaluator": "https://python.langchain.com/docs/guides/evaluation/trajectory/custom",
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"Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
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"Interface": "https://python.langchain.com/docs/guides/expression_language/interface",
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"Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping",
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"Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
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"Summarization": "https://python.langchain.com/docs/use_cases/summarization",
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|
"Extraction": "https://python.langchain.com/docs/use_cases/extraction",
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|
"SQL": "https://python.langchain.com/docs/use_cases/qa_structured/sql",
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|
"Tagging": "https://python.langchain.com/docs/use_cases/tagging",
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|
"Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding",
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|
"AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt",
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|
"!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times",
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|
"QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
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|
"Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA",
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|
"Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents",
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|
"Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval",
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|
"Cite sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/qa_citations",
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|
"Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare",
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|
"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",
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|
"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",
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|
"Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
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|
"QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat",
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|
"Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent",
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|
"SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
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|
"CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/agent_simulations/camel_role_playing",
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|
"Neptune Open Cypher QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/neptune_cypher_qa",
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|
"NebulaGraphQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_nebula_qa",
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|
"KuzuQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_kuzu_qa",
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|
"FalkorDBQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_falkordb_qa",
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|
"HugeGraph QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_hugegraph_qa",
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|
"GraphSparqlQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_sparql_qa",
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|
"ArangoDB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_arangodb_qa",
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|
"Neo4j DB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_cypher_qa",
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|
"How to use a SmartLLMChain": "https://python.langchain.com/docs/use_cases/more/self_check/smart_llm",
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|
"Multi-Agent Simulated Environment: Petting Zoo": "https://python.langchain.com/docs/use_cases/agent_simulations/petting_zoo",
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|
"Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_bidding",
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|
"Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian",
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|
"Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/agent_simulations/characters",
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|
"Two-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/two_player_dnd",
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|
"Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/multi_player_dnd",
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"Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/agent_simulations/gymnasium",
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"Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools",
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"MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever",
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"WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research",
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|
"How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory",
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|
"Custom callback handlers": "https://python.langchain.com/docs/modules/callbacks/custom_callbacks",
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|
"Async callbacks": "https://python.langchain.com/docs/modules/callbacks/async_callbacks",
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"Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools",
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|
"Tools as OpenAI Functions": "https://python.langchain.com/docs/modules/agents/tools/tools_as_openai_functions",
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|
"OpenAI Multi Functions Agent": "https://python.langchain.com/docs/modules/agents/agent_types/openai_multi_functions_agent",
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|
"Handle parsing errors": "https://python.langchain.com/docs/modules/agents/how_to/handle_parsing_errors",
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|
"Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter",
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|
"Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions",
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|
"Custom functions with OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/custom-functions-with-openai-functions-agent",
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|
"Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions",
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|
"Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry",
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"Pydantic (JSON) parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/pydantic",
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|
"Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining",
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|
"Connecting to a Feature Store": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/connecting_to_a_feature_store",
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|
"Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain",
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|
"Using OpenAI functions": "https://python.langchain.com/docs/modules/chains/how_to/openai_functions"
|
|
},
|
|
"RePhraseQueryRetriever": {
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|
"RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase"
|
|
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|
"PromptTemplate": {
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|
"RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase",
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|
"Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier",
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|
"Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator",
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|
"Streamlit Chat Message History": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history",
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|
"Context": "https://python.langchain.com/docs/integrations/callbacks/context",
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|
"Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla",
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"Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking",
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|
"Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking",
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|
"Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking",
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|
"SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking",
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"Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff",
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"MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking",
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|
"Flyte": "https://python.langchain.com/docs/integrations/providers/flyte",
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|
"Vectara Text Generation": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation",
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|
"Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla",
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|
"Predibase": "https://python.langchain.com/docs/integrations/llms/predibase",
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|
"Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai",
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|
"Fallbacks": "https://python.langchain.com/docs/guides/fallbacks",
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|
"Pairwise String Comparison": "https://python.langchain.com/docs/guides/evaluation/comparison/pairwise_string",
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|
"Criteria Evaluation": "https://python.langchain.com/docs/guides/evaluation/string/criteria_eval_chain",
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"Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
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"Summarization": "https://python.langchain.com/docs/use_cases/summarization",
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"Extraction": "https://python.langchain.com/docs/use_cases/extraction",
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"Interacting with APIs": "https://python.langchain.com/docs/use_cases/apis",
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"SQL": "https://python.langchain.com/docs/use_cases/qa_structured/sql",
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|
"QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
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|
"Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation",
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|
"Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde",
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|
"Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
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|
"Bash chain": "https://python.langchain.com/docs/use_cases/more/code_writing/llm_bash",
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|
"How to use a SmartLLMChain": "https://python.langchain.com/docs/use_cases/more/self_check/smart_llm",
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|
"Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian",
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|
"Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools",
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"MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever",
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"WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research",
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"Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder",
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|
"How to create a custom Memory class": "https://python.langchain.com/docs/modules/memory/custom_memory",
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|
"How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs",
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|
"How to add Memory to an LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory",
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|
"How to use multiple memory classes in the same chain": "https://python.langchain.com/docs/modules/memory/multiple_memory",
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|
"How to customize conversational memory": "https://python.langchain.com/docs/modules/memory/conversational_customization",
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|
"Conversation Knowledge Graph Memory": "https://python.langchain.com/docs/modules/memory/types/kg",
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|
"Logging to file": "https://python.langchain.com/docs/modules/callbacks/filecallbackhandler",
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|
"Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry",
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|
"Datetime parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/datetime",
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|
"Pydantic (JSON) parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/pydantic",
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|
"Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr",
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"Select by n-gram overlap": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/ngram_overlap",
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|
"Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining",
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"Template Formats": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/formats",
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|
"Connecting to a Feature Store": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/connecting_to_a_feature_store",
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|
"Router": "https://python.langchain.com/docs/modules/chains/foundational/router",
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|
"Transformation": "https://python.langchain.com/docs/modules/chains/foundational/transformation",
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|
"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"
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},
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|
"HumanMessage": {
|
|
"Zep": "https://python.langchain.com/docs/integrations/retrievers/zep_memorystore",
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"Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory",
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|
"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",
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|
"OpenAI": "https://python.langchain.com/docs/integrations/chat/openai",
|
|
"JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat",
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|
"ERNIE-Bot Chat": "https://python.langchain.com/docs/integrations/chat/ernie",
|
|
"Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
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|
"CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/agent_simulations/camel_role_playing",
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|
"Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_bidding",
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|
"Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/agent_simulations/multiagent_authoritarian",
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|
"Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/agent_simulations/multi_player_dnd",
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|
"Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/agent_simulations/gymnasium",
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|
"Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/agent_simulations/two_agent_debate_tools",
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|
"Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining"
|
|
},
|
|
"ZepRetriever": {
|
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"Zep": "https://python.langchain.com/docs/integrations/providers/zep",
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|
"Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory"
|
|
},
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|
"VespaRetriever": {
|
|
"Vespa": "https://python.langchain.com/docs/integrations/providers/vespa"
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|
},
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"AmazonKendraRetriever": {
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|
"Amazon Kendra": "https://python.langchain.com/docs/integrations/retrievers/amazon_kendra_retriever"
|
|
},
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|
"TextLoader": {
|
|
"Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker",
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|
"Elasticsearch": "https://python.langchain.com/docs/integrations/vectorstores/elasticsearch",
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|
"Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat",
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|
"Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore",
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|
"LanceDB": "https://python.langchain.com/docs/integrations/vectorstores/lancedb",
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|
"Weaviate": "https://python.langchain.com/docs/integrations/vectorstores/weaviate",
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|
"DashVector": "https://python.langchain.com/docs/integrations/vectorstores/dashvector",
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|
"ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann",
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|
"Xata": "https://python.langchain.com/docs/integrations/vectorstores/xata",
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|
"Vectara": "https://python.langchain.com/docs/integrations/vectorstores/vectara",
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|
"Redis": "https://python.langchain.com/docs/integrations/vectorstores/redis",
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|
"PGVector": "https://python.langchain.com/docs/integrations/vectorstores/pgvector",
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|
"Rockset": "https://python.langchain.com/docs/integrations/vectorstores/rockset",
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|
"Dingo": "https://python.langchain.com/docs/integrations/vectorstores/dingo",
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|
"Zilliz": "https://python.langchain.com/docs/integrations/vectorstores/zilliz",
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|
"SingleStoreDB": "https://python.langchain.com/docs/integrations/vectorstores/singlestoredb",
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|
"Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy",
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|
"Typesense": "https://python.langchain.com/docs/integrations/vectorstores/typesense",
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|
"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",
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|
"Clarifai": "https://python.langchain.com/docs/integrations/vectorstores/clarifai",
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|
"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",
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|
"AwaDB": "https://python.langchain.com/docs/integrations/vectorstores/awadb",
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|
"Supabase (Postgres)": "https://python.langchain.com/docs/integrations/vectorstores/supabase",
|
|
"OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/opensearch",
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|
"Pinecone": "https://python.langchain.com/docs/integrations/vectorstores/pinecone",
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|
"BagelDB": "https://python.langchain.com/docs/integrations/vectorstores/bageldb",
|
|
"Azure Cognitive Search": "https://python.langchain.com/docs/integrations/vectorstores/azuresearch",
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|
"Cassandra": "https://python.langchain.com/docs/integrations/vectorstores/cassandra",
|
|
"USearch": "https://python.langchain.com/docs/integrations/vectorstores/usearch",
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|
"Milvus": "https://python.langchain.com/docs/integrations/vectorstores/milvus",
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|
"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",
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|
"AnalyticDB": "https://python.langchain.com/docs/integrations/vectorstores/analyticdb",
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|
"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",
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|
"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/qa_structured/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",
|
|
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"Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking",
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"MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking",
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"Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper",
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"Flyte": "https://python.langchain.com/docs/integrations/providers/flyte",
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"WandB Tracing": "https://python.langchain.com/docs/integrations/providers/wandb_tracing",
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"ClearML": "https://python.langchain.com/docs/integrations/providers/clearml_tracking",
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"Portkey": "https://python.langchain.com/docs/integrations/providers/portkey/index",
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"DataForSEO": "https://python.langchain.com/docs/integrations/providers/dataforseo"
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"Google Search": "https://python.langchain.com/docs/integrations/tools/google_search",
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"Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit",
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"Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons",
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"Adding Message Memory backed by a database to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db",
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"How to add Memory to an Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory",
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"Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions",
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"SearxSearchWrapper": {
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"SearxNG Search API": "https://python.langchain.com/docs/integrations/providers/searx"
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"GoogleSerperAPIWrapper": {
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"Google Serper API": "https://python.langchain.com/docs/integrations/tools/google_serper",
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"Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper",
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"Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare"
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"Google Places": "https://python.langchain.com/docs/integrations/tools/google_places"
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"HumanInputRun": {
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"!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times"
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"Twilio": "https://python.langchain.com/docs/integrations/tools/twilio"
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"IFTTTWebhook": {
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"IFTTT WebHooks": "https://python.langchain.com/docs/integrations/tools/ifttt"
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"Wikipedia": "https://python.langchain.com/docs/integrations/tools/wikipedia"
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"Tool Input Schema": "https://python.langchain.com/docs/modules/agents/tools/tool_input_validation"
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"OpenWeatherMap API": "https://python.langchain.com/docs/integrations/tools/openweathermap",
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"OpenWeatherMap": "https://python.langchain.com/docs/integrations/providers/openweathermap"
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"PubMed Tool": "https://python.langchain.com/docs/integrations/tools/pubmed"
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"YouTubeSearchTool": {
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"YouTubeSearchTool": "https://python.langchain.com/docs/integrations/tools/youtube"
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"VectorstoreIndexCreator": {
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"Apify": "https://python.langchain.com/docs/integrations/tools/apify",
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"HuggingFace dataset": "https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset",
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"Spreedly": "https://python.langchain.com/docs/integrations/document_loaders/spreedly",
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"Image captions": "https://python.langchain.com/docs/integrations/document_loaders/image_captions",
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"Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma",
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"Iugu": "https://python.langchain.com/docs/integrations/document_loaders/iugu",
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"Stripe": "https://python.langchain.com/docs/integrations/document_loaders/stripe",
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"Modern Treasury": "https://python.langchain.com/docs/integrations/document_loaders/modern_treasury",
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"QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
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|
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"ZapierToolkit": {
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"Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier"
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"ZapierNLAWrapper": {
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"Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier"
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"LLMChain": {
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"Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier",
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"Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator",
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"Streamlit Chat Message History": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history",
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"Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla",
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"Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking",
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"Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking",
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"Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking",
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"SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking",
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"Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff",
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"MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking",
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"Flyte": "https://python.langchain.com/docs/integrations/providers/flyte",
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"Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat",
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"Vectara Text Generation": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation",
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"Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla",
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|
"JSON Agent": "https://python.langchain.com/docs/integrations/toolkits/json",
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|
"Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma",
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|
"Predibase": "https://python.langchain.com/docs/integrations/llms/predibase",
|
|
"Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai",
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|
"AzureML Online Endpoint": "https://python.langchain.com/docs/integrations/llms/azureml_endpoint_example",
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|
"Custom Trajectory Evaluator": "https://python.langchain.com/docs/guides/evaluation/trajectory/custom",
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|
"Custom Pairwise Evaluator": "https://python.langchain.com/docs/guides/evaluation/comparison/custom",
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|
"Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
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|
"Summarization": "https://python.langchain.com/docs/use_cases/summarization",
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|
"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",
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|
"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",
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|
"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",
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"Logging to file": "https://python.langchain.com/docs/modules/callbacks/filecallbackhandler",
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|
"XML Agent": "https://python.langchain.com/docs/modules/agents/agent_types/xml_agent",
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"Datetime parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/datetime",
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"Prompt Pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining",
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|
"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"
|
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},
|
|
"SimpleSequentialChain": {
|
|
"Zapier Natural Language Actions API": "https://python.langchain.com/docs/integrations/tools/zapier",
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"SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking",
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|
"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"
|
|
},
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|
"GoldenQueryAPIWrapper": {
|
|
"Golden Query": "https://python.langchain.com/docs/integrations/tools/golden_query",
|
|
"Golden": "https://python.langchain.com/docs/integrations/providers/golden"
|
|
},
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|
"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"
|
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},
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|
"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/qa_structured/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",
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|
"Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai",
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|
"Wikibase Agent": "https://python.langchain.com/docs/use_cases/agents/wikibase_agent",
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|
"SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
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|
"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",
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|
"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",
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|
"Custom multi-action agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_multi_action_agent",
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|
"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"
|
|
},
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|
"SerpAPIWrapper": {
|
|
"SerpAPI": "https://python.langchain.com/docs/integrations/providers/serpapi",
|
|
"NIBittensorLLM": "https://python.langchain.com/docs/integrations/llms/bittensor",
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|
"AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt"
|
|
},
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|
"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",
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|
"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",
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|
"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",
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|
"Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
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|
"QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
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|
"Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
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|
"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"
|
|
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|
|
"WolframAlphaAPIWrapper": {
|
|
"Wolfram Alpha": "https://python.langchain.com/docs/integrations/providers/wolfram_alpha"
|
|
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"load_huggingface_tool": {
|
|
"Requires transformers>=4.29.0 and huggingface_hub>=0.14.1": "https://python.langchain.com/docs/integrations/tools/huggingface_tools"
|
|
},
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"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"
|
|
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|
|
"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"
|
|
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|
|
"DeleteFileTool": {
|
|
"File System Tools": "https://python.langchain.com/docs/integrations/tools/filesystem"
|
|
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|
|
"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"
|
|
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|
|
"FileManagementToolkit": {
|
|
"File System Tools": "https://python.langchain.com/docs/integrations/tools/filesystem"
|
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"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/qa_structured/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/qa_structured/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/qa_structured/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"
|
|
},
|
|
"Activeloop DeepLake": {
|
|
"Deep Lake": "https://python.langchain.com/docs/integrations/providers/activeloop_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/qa_structured/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/qa_structured/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"
|
|
},
|
|
"FalkorDBGraph": {
|
|
"KuzuQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_falkordb_qa"
|
|
},
|
|
"FalkorDBQAChain": {
|
|
"FalkorDB QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_falkordb_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": {
|
|
"Neo4j DB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_cypher_qa"
|
|
},
|
|
"Neo4jGraph": {
|
|
"Neo4j 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"
|
|
}
|
|
} |