mirror of
https://github.com/hwchase17/langchain
synced 2024-11-13 19:10:52 +00:00
2f03bc397e
Last year Microsoft [changed the name](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search) of Azure Cognitive Search to Azure AI Search. This PR updates the Langchain Azure Retriever API and it's associated docs to reflect this change. It may be confusing for users to see the name Cognitive here and AI in the Microsoft documentation which is why this is needed. I've also added a more detailed example to the Azure retriever doc page. There are more places that need a similar update but I'm breaking it up so the PRs are not too big 😄 Fixing my errors from the previous PR. Twitter: @marlene_zw Two new tests added to test backward compatibility in `libs/community/tests/integration_tests/retrievers/test_azure_cognitive_search.py` --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>
2 lines
247 KiB
JSON
2 lines
247 KiB
JSON
{"SingleFileFacebookMessengerChatLoader": {"Facebook Messenger": "https://python.langchain.com/docs/integrations/chat_loaders/facebook"}, "FolderFacebookMessengerChatLoader": {"Facebook Messenger": "https://python.langchain.com/docs/integrations/chat_loaders/facebook", "Chat loaders": "https://python.langchain.com/docs/integrations/chat_loaders/index"}, "merge_chat_runs": {"Facebook Messenger": "https://python.langchain.com/docs/integrations/chat_loaders/facebook", "Slack": "https://python.langchain.com/docs/integrations/chat_loaders/slack", "WhatsApp": "https://python.langchain.com/docs/integrations/chat_loaders/whatsapp", "iMessage": "https://python.langchain.com/docs/integrations/chat_loaders/imessage", "Telegram": "https://python.langchain.com/docs/integrations/chat_loaders/telegram", "Discord": "https://python.langchain.com/docs/integrations/chat_loaders/discord"}, "map_ai_messages": {"Facebook Messenger": "https://python.langchain.com/docs/integrations/chat_loaders/facebook", "GMail": "https://python.langchain.com/docs/integrations/chat_loaders/gmail", "Slack": "https://python.langchain.com/docs/integrations/chat_loaders/slack", "WhatsApp": "https://python.langchain.com/docs/integrations/chat_loaders/whatsapp", "iMessage": "https://python.langchain.com/docs/integrations/chat_loaders/imessage", "Telegram": "https://python.langchain.com/docs/integrations/chat_loaders/telegram", "Discord": "https://python.langchain.com/docs/integrations/chat_loaders/discord"}, "convert_messages_for_finetuning": {"Facebook Messenger": "https://python.langchain.com/docs/integrations/chat_loaders/facebook", "Chat loaders": "https://python.langchain.com/docs/integrations/chat_loaders/index", "iMessage": "https://python.langchain.com/docs/integrations/chat_loaders/imessage"}, "ChatOpenAI": {"Facebook Messenger": "https://python.langchain.com/docs/integrations/chat_loaders/facebook", "Slack": "https://python.langchain.com/docs/integrations/chat_loaders/slack", "WhatsApp": "https://python.langchain.com/docs/integrations/chat_loaders/whatsapp", "iMessage": "https://python.langchain.com/docs/integrations/chat_loaders/imessage", "Telegram": "https://python.langchain.com/docs/integrations/chat_loaders/telegram", "Discord": "https://python.langchain.com/docs/integrations/chat_loaders/discord", "RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase", "Wikipedia": "https://python.langchain.com/docs/integrations/retrievers/wikipedia", "Arxiv": "https://python.langchain.com/docs/integrations/retrievers/arxiv", "ChatGPT Plugins": "https://python.langchain.com/docs/integrations/tools/chatgpt_plugins", "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools", "Yahoo Finance News": "https://python.langchain.com/docs/integrations/tools/yahoo_finance_news", "ArXiv": "https://python.langchain.com/docs/integrations/tools/arxiv", "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search", "Shell (bash)": "https://python.langchain.com/docs/integrations/tools/bash", "Xata chat memory": "https://python.langchain.com/docs/integrations/memory/xata_chat_message_history", "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history", "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai", "LLMonitor": "https://python.langchain.com/docs/integrations/callbacks/llmonitor", "Context": "https://python.langchain.com/docs/integrations/callbacks/context", "Label Studio": "https://python.langchain.com/docs/integrations/callbacks/labelstudio", "PromptLayer": "https://python.langchain.com/docs/integrations/callbacks/promptlayer", "CnosDB": "https://python.langchain.com/docs/integrations/providers/cnosdb", "Log10": "https://python.langchain.com/docs/integrations/providers/log10", "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte", "Arthur": "https://python.langchain.com/docs/integrations/providers/arthur_tracking", "CSV": "https://python.langchain.com/docs/integrations/toolkits/csv", "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit", "Python": "https://python.langchain.com/docs/integrations/toolkits/python", "PowerBI Dataset": "https://python.langchain.com/docs/integrations/toolkits/powerbi", "SQL Database": "https://python.langchain.com/docs/integrations/toolkits/sql_database", "Airbyte Question Answering": "https://python.langchain.com/docs/integrations/toolkits/airbyte_structured_qa", "Github": "https://python.langchain.com/docs/integrations/toolkits/github", "Spark SQL": "https://python.langchain.com/docs/integrations/toolkits/spark_sql", "AINetwork": "https://python.langchain.com/docs/integrations/toolkits/ainetwork", "Pandas Dataframe": "https://python.langchain.com/docs/integrations/toolkits/pandas", "Neo4j Vector Index": "https://python.langchain.com/docs/integrations/vectorstores/neo4jvector", "OpenAI Functions Metadata Tagger": "https://python.langchain.com/docs/integrations/document_transformers/openai_metadata_tagger", "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio", "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma", "Fallbacks": "https://python.langchain.com/docs/guides/fallbacks", "Debugging": "https://python.langchain.com/docs/guides/debugging", "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough", "Reversible data anonymization with Microsoft Presidio": "https://python.langchain.com/docs/guides/privacy/presidio_data_anonymization/reversible", "Data anonymization with Microsoft Presidio": "https://python.langchain.com/docs/guides/privacy/presidio_data_anonymization/index", "Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons", "Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval", "Custom Trajectory Evaluator": "https://python.langchain.com/docs/guides/evaluation/trajectory/custom", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/tagging", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/qa_structured/sql", "Question Answering": "https://python.langchain.com/docs/use_cases/question_answering/question_answering", "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA", "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents", "Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval", "Cite sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/qa_citations", "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare", "Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake", "Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat", "Neptune Open Cypher QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/neptune_cypher_qa", "NebulaGraphQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_nebula_qa", "Memgraph QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_memgraph_qa", "KuzuQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_kuzu_qa", "HugeGraph QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_hugegraph_qa", "GraphSparqlQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_sparql_qa", "Ontotext GraphDB QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_ontotext_graphdb_qa", "Diffbot Graph Transformer": "https://python.langchain.com/docs/use_cases/more/graph/diffbot_graphtransformer", "ArangoDB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_arangodb_qa", "Neo4j DB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_cypher_qa", "FalkorDBQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_falkordb_qa", "Agents": "https://python.langchain.com/docs/use_cases/more/agents/agents", "AutoGPT": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/autogpt", "!pip install bs4": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/marathon_times", "Wikibase Agent": "https://python.langchain.com/docs/use_cases/more/agents/agents/wikibase_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/more/agents/agents/sales_agent_with_context", "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/camel_role_playing", "Multi-Agent Simulated Environment: Petting Zoo": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/petting_zoo", "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multiagent_bidding", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multiagent_authoritarian", "Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/characters", "Two-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/two_player_dnd", "Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multi_player_dnd", "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/gymnasium", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/two_agent_debate_tools", "How to use a SmartLLMChain": "https://python.langchain.com/docs/use_cases/more/self_check/smart_llm", "Vector SQL Retriever with MyScale": "https://python.langchain.com/docs/use_cases/qa_structured/integrations/myscale_vector_sql", "Elasticsearch": "https://python.langchain.com/docs/use_cases/qa_structured/integrations/elasticsearch", "SQL": "https://python.langchain.com/docs/use_cases/sql/sql", "MultiVector Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector", "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research", "Memory in LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory", "Custom callback handlers": "https://python.langchain.com/docs/modules/callbacks/custom_callbacks", "Async callbacks": "https://python.langchain.com/docs/modules/callbacks/async_callbacks", "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools", "Tools as OpenAI Functions": "https://python.langchain.com/docs/modules/agents/tools/tools_as_openai_functions", "OpenAI Multi Functions Agent": "https://python.langchain.com/docs/modules/agents/agent_types/openai_multi_functions_agent", "Handle parsing errors": "https://python.langchain.com/docs/modules/agents/how_to/handle_parsing_errors", "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter", "Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions", "Custom functions with OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/custom-functions-with-openai-functions-agent", "Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions", "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry", "Pydantic (JSON) parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/pydantic", "Prompt pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining", "Connecting to a Feature Store": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/connecting_to_a_feature_store", "Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain", "Using OpenAI functions": "https://python.langchain.com/docs/modules/chains/how_to/openai_functions", "interface.md": "https://python.langchain.com/docs/expression_language/interface", "First we add a step to load memory": "https://python.langchain.com/docs/expression_language/cookbook/retrieval", "sql_db.md": "https://python.langchain.com/docs/expression_language/cookbook/sql_db", "prompt_llm_parser.md": "https://python.langchain.com/docs/expression_language/cookbook/prompt_llm_parser", "Adding memory": "https://python.langchain.com/docs/expression_language/cookbook/memory", "multiple_chains.md": "https://python.langchain.com/docs/expression_language/cookbook/multiple_chains", "Code writing": "https://python.langchain.com/docs/expression_language/cookbook/code_writing", "Using tools": "https://python.langchain.com/docs/expression_language/cookbook/tools", "Configure Runnable traces": "https://python.langchain.com/docs/expression_language/how_to/trace_config"}, "ChatPromptTemplate": {"Facebook Messenger": "https://python.langchain.com/docs/integrations/chat_loaders/facebook", "Chat loaders": "https://python.langchain.com/docs/integrations/chat_loaders/index", "iMessage": "https://python.langchain.com/docs/integrations/chat_loaders/imessage", "Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic", "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm", "Konko": "https://python.langchain.com/docs/integrations/chat/konko", "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", "Set env var OPENAI_API_KEY or load from a .env file:": "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/more/agents/agent_simulations/multiagent_authoritarian", "MultiVector Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector", "Memory in 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", "interface.md": "https://python.langchain.com/docs/expression_language/interface", "First we add a step to load memory": "https://python.langchain.com/docs/expression_language/cookbook/retrieval", "sql_db.md": "https://python.langchain.com/docs/expression_language/cookbook/sql_db", "prompt_llm_parser.md": "https://python.langchain.com/docs/expression_language/cookbook/prompt_llm_parser", "Adding memory": "https://python.langchain.com/docs/expression_language/cookbook/memory", "multiple_chains.md": "https://python.langchain.com/docs/expression_language/cookbook/multiple_chains", "Code writing": "https://python.langchain.com/docs/expression_language/cookbook/code_writing", "Using tools": "https://python.langchain.com/docs/expression_language/cookbook/tools", "Adding moderation": "https://python.langchain.com/docs/expression_language/cookbook/moderation"}, "StrOutputParser": {"Facebook Messenger": "https://python.langchain.com/docs/integrations/chat_loaders/facebook", "Chat loaders": "https://python.langchain.com/docs/integrations/chat_loaders/index", "iMessage": "https://python.langchain.com/docs/integrations/chat_loaders/imessage", "OpaquePrompts": "https://python.langchain.com/docs/integrations/llms/opaqueprompts", "Fallbacks": "https://python.langchain.com/docs/guides/fallbacks", "MultiVector Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector", "First we add a step to load memory": "https://python.langchain.com/docs/expression_language/cookbook/retrieval", "sql_db.md": "https://python.langchain.com/docs/expression_language/cookbook/sql_db", "prompt_llm_parser.md": "https://python.langchain.com/docs/expression_language/cookbook/prompt_llm_parser", "multiple_chains.md": "https://python.langchain.com/docs/expression_language/cookbook/multiple_chains", "Code writing": "https://python.langchain.com/docs/expression_language/cookbook/code_writing", "Using tools": "https://python.langchain.com/docs/expression_language/cookbook/tools", "Configure Runnable traces": "https://python.langchain.com/docs/expression_language/how_to/trace_config"}, "AIMessage": {"Twitter (via Apify)": "https://python.langchain.com/docs/integrations/chat_loaders/twitter", "Zep": "https://python.langchain.com/docs/integrations/retrievers/zep_memorystore", "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory", "SQL Chat Message History": "https://python.langchain.com/docs/integrations/memory/sql_chat_message_history", "Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic", "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm", "Konko": "https://python.langchain.com/docs/integrations/chat/konko", "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai", "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/chatbots", "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/camel_role_playing", "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multiagent_bidding", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multiagent_authoritarian", "Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multi_player_dnd", "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/gymnasium", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/two_agent_debate_tools", "Prompt pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining"}, "convert_message_to_dict": {"Twitter (via Apify)": "https://python.langchain.com/docs/integrations/chat_loaders/twitter"}, "GMailLoader": {"GMail": "https://python.langchain.com/docs/integrations/chat_loaders/gmail"}, "SlackChatLoader": {"Slack": "https://python.langchain.com/docs/integrations/chat_loaders/slack"}, "ChatSession": {"Slack": "https://python.langchain.com/docs/integrations/chat_loaders/slack", "WhatsApp": "https://python.langchain.com/docs/integrations/chat_loaders/whatsapp", "iMessage": "https://python.langchain.com/docs/integrations/chat_loaders/imessage", "Telegram": "https://python.langchain.com/docs/integrations/chat_loaders/telegram", "Discord": "https://python.langchain.com/docs/integrations/chat_loaders/discord"}, "WhatsAppChatLoader": {"WhatsApp": "https://python.langchain.com/docs/integrations/providers/whatsapp", "WhatsApp Chat": "https://python.langchain.com/docs/integrations/document_loaders/whatsapp_chat"}, "IMessageChatLoader": {"iMessage": "https://python.langchain.com/docs/integrations/chat_loaders/imessage"}, "TelegramChatLoader": {"Telegram": "https://python.langchain.com/docs/integrations/chat_loaders/telegram"}, "base": {"Discord": "https://python.langchain.com/docs/integrations/chat_loaders/discord"}, "HuggingFaceBgeEmbeddings": {"BGE on Hugging Face": "https://python.langchain.com/docs/integrations/text_embedding/bge_huggingface"}, "XinferenceEmbeddings": {"Xorbits inference (Xinference)": "https://python.langchain.com/docs/integrations/text_embedding/xinference"}, "DeepInfraEmbeddings": {"DeepInfra": "https://python.langchain.com/docs/integrations/text_embedding/deepinfra"}, "HuggingFaceEmbeddings": {"Hugging Face": "https://python.langchain.com/docs/integrations/providers/huggingface", "Sentence Transformers": "https://python.langchain.com/docs/integrations/text_embedding/sentence_transformers", "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever", "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann", "Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy", "your local model path": "https://python.langchain.com/docs/integrations/vectorstores/vearch", "Pairwise Embedding Distance ": "https://python.langchain.com/docs/guides/evaluation/comparison/pairwise_embedding_distance", "Embedding Distance": "https://python.langchain.com/docs/guides/evaluation/string/embedding_distance", "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder"}, "HuggingFaceInferenceAPIEmbeddings": {"Hugging Face": "https://python.langchain.com/docs/integrations/text_embedding/huggingfacehub"}, "GPT4AllEmbeddings": {"GPT4All": "https://python.langchain.com/docs/integrations/text_embedding/gpt4all", "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama", "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"}, "MosaicMLInstructorEmbeddings": {"MosaicML": "https://python.langchain.com/docs/integrations/text_embedding/mosaicml"}, "OpenAIEmbeddings": {"OpenAI": "https://python.langchain.com/docs/integrations/providers/openai", "AzureOpenAI": "https://python.langchain.com/docs/integrations/text_embedding/azureopenai", "RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase", "Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker", "kNN": "https://python.langchain.com/docs/integrations/retrievers/knn", "DocArray Retriever": "https://python.langchain.com/docs/integrations/retrievers/docarray_retriever", "SVM": "https://python.langchain.com/docs/integrations/retrievers/svm", "Pinecone Hybrid Search": "https://python.langchain.com/docs/integrations/retrievers/pinecone_hybrid_search", "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever", "Xata chat memory": "https://python.langchain.com/docs/integrations/memory/xata_chat_message_history", "Confident": "https://python.langchain.com/docs/integrations/callbacks/confident", "Azure OpenAI": "https://python.langchain.com/docs/integrations/providers/azure_openai", "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit", "Vectorstore": "https://python.langchain.com/docs/integrations/toolkits/vectorstore", "LanceDB": "https://python.langchain.com/docs/integrations/vectorstores/lancedb", "Weaviate": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query", "Xata": "https://python.langchain.com/docs/integrations/vectorstores/xata", "Redis": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/redis_self_query", "PGVector": "https://python.langchain.com/docs/integrations/vectorstores/pgvector", "Rockset": "https://python.langchain.com/docs/integrations/vectorstores/rockset", "DingoDB": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/dingo", "Zilliz": "https://python.langchain.com/docs/integrations/vectorstores/zilliz", "SingleStoreDB": "https://python.langchain.com/docs/integrations/vectorstores/singlestoredb", "Typesense": "https://python.langchain.com/docs/integrations/vectorstores/typesense", "Atlas": "https://python.langchain.com/docs/integrations/vectorstores/atlas", "Activeloop Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake", "Neo4j Vector Index": "https://python.langchain.com/docs/integrations/vectorstores/neo4jvector", "Chroma": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query", "Alibaba Cloud OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/alibabacloud_opensearch", "Baidu Cloud VectorSearch": "https://python.langchain.com/docs/integrations/vectorstores/baiducloud_vector_search", "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks", "scikit-learn": "https://python.langchain.com/docs/integrations/vectorstores/sklearn", "DocArray HnswSearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_hnsw", "MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query", "ClickHouse": "https://python.langchain.com/docs/integrations/vectorstores/clickhouse", "Qdrant": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query", "Tigris": "https://python.langchain.com/docs/integrations/vectorstores/tigris", "Supabase (Postgres)": "https://python.langchain.com/docs/integrations/vectorstores/supabase", "OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/opensearch", "Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone", "Azure Cognitive Search": "https://python.langchain.com/docs/integrations/vectorstores/azuresearch", "Cassandra": "https://python.langchain.com/docs/integrations/vectorstores/cassandra", "USearch": "https://python.langchain.com/docs/integrations/vectorstores/usearch", "Milvus": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/milvus_self_query", "Elasticsearch": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query", "DocArray InMemorySearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_in_memory", "Postgres Embedding": "https://python.langchain.com/docs/integrations/vectorstores/pgembedding", "Faiss": "https://python.langchain.com/docs/integrations/vectorstores/faiss", "Epsilla": "https://python.langchain.com/docs/integrations/vectorstores/epsilla", "AnalyticDB": "https://python.langchain.com/docs/integrations/vectorstores/analyticdb", "Hologres": "https://python.langchain.com/docs/integrations/vectorstores/hologres", "MongoDB Atlas": "https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas", "Meilisearch": "https://python.langchain.com/docs/integrations/vectorstores/meilisearch", "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio", "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic", "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami", "LLM Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/chatbots", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/qa_structured/sql", "Question Answering": "https://python.langchain.com/docs/use_cases/question_answering/question_answering", "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA", "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents", "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation", "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare", "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde", "Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake", "Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat", "Agents": "https://python.langchain.com/docs/use_cases/more/agents/agents", "AutoGPT": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/autogpt", "BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/baby_agi", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/baby_agi_with_agent", "!pip install bs4": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/marathon_times", "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/more/agents/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/more/agents/agents/sales_agent_with_context", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/more/agents/agents/custom_agent_with_plugin_retrieval", "Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/characters", "SQL": "https://python.langchain.com/docs/use_cases/sql/sql", "Indexing": "https://python.langchain.com/docs/modules/data_connection/indexing", "Caching": "https://python.langchain.com/docs/modules/data_connection/text_embedding/caching_embeddings", "MultiVector Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector", "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever", "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research", "Supabase": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/supabase_self_query", "Deep Lake": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query", "Memory in the Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs", "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore", "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval", "Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr", "Few-shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat", "Loading from LangChainHub": "https://python.langchain.com/docs/modules/chains/how_to/from_hub", "First we add a step to load memory": "https://python.langchain.com/docs/expression_language/cookbook/retrieval"}, "VertexAIEmbeddings": {"Google Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/text_embedding/google_vertex_ai_palm"}, "BedrockEmbeddings": {"Bedrock": "https://python.langchain.com/docs/integrations/providers/bedrock"}, "LlamaCppEmbeddings": {"Llama-cpp": "https://python.langchain.com/docs/integrations/text_embedding/llamacpp", "Llama.cpp": "https://python.langchain.com/docs/integrations/providers/llamacpp"}, "NLPCloudEmbeddings": {"NLP Cloud": "https://python.langchain.com/docs/integrations/text_embedding/nlp_cloud", "NLPCloud": "https://python.langchain.com/docs/integrations/providers/nlpcloud"}, "SpacyEmbeddings": {"SpaCy": "https://python.langchain.com/docs/integrations/text_embedding/spacy_embedding", "spaCy": "https://python.langchain.com/docs/integrations/providers/spacy"}, "HuggingFaceInstructEmbeddings": {"InstructEmbeddings": "https://python.langchain.com/docs/integrations/text_embedding/instruct_embeddings", "Vector SQL Retriever with MyScale": "https://python.langchain.com/docs/use_cases/qa_structured/integrations/myscale_vector_sql"}, "QianfanEmbeddingsEndpoint": {"Baidu Qianfan": "https://python.langchain.com/docs/integrations/text_embedding/baidu_qianfan_endpoint"}, "CohereEmbeddings": {"Cohere": "https://python.langchain.com/docs/integrations/providers/cohere", "Memory in the Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs", "Router": "https://python.langchain.com/docs/modules/chains/foundational/router"}, "EdenAiEmbeddings": {"EDEN AI": "https://python.langchain.com/docs/integrations/text_embedding/edenai"}, "SentenceTransformerEmbeddings": {"Sentence Transformers": "https://python.langchain.com/docs/integrations/text_embedding/sentence_transformers", "sqlite-vss": "https://python.langchain.com/docs/integrations/vectorstores/sqlitevss", "Chroma": "https://python.langchain.com/docs/integrations/vectorstores/chroma"}, "ClarifaiEmbeddings": {"Clarifai": "https://python.langchain.com/docs/integrations/providers/clarifai"}, "AwaEmbeddings": {"AwaDB": "https://python.langchain.com/docs/integrations/providers/awadb"}, "MiniMaxEmbeddings": {"MiniMax": "https://python.langchain.com/docs/integrations/text_embedding/minimax", "Minimax": "https://python.langchain.com/docs/integrations/providers/minimax"}, "FakeEmbeddings": {"Fake Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/fake", "DocArray Retriever": "https://python.langchain.com/docs/integrations/retrievers/docarray_retriever", "Vectara": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/vectara_self_query", "Tair": "https://python.langchain.com/docs/integrations/vectorstores/tair", "Tencent Cloud VectorDB": "https://python.langchain.com/docs/integrations/vectorstores/tencentvectordb"}, "ElasticsearchEmbeddings": {"Elasticsearch": "https://python.langchain.com/docs/integrations/text_embedding/elasticsearch"}, "SelfHostedEmbeddings": {"Self Hosted": "https://python.langchain.com/docs/integrations/text_embedding/self-hosted"}, "SelfHostedHuggingFaceEmbeddings": {"Self Hosted": "https://python.langchain.com/docs/integrations/text_embedding/self-hosted"}, "SelfHostedHuggingFaceInstructEmbeddings": {"Self Hosted": "https://python.langchain.com/docs/integrations/text_embedding/self-hosted"}, "EmbaasEmbeddings": {"Embaas": "https://python.langchain.com/docs/integrations/text_embedding/embaas"}, "JinaEmbeddings": {"Jina": "https://python.langchain.com/docs/integrations/providers/jina"}, "AlephAlphaAsymmetricSemanticEmbedding": {"Aleph Alpha": "https://python.langchain.com/docs/integrations/providers/aleph_alpha"}, "AlephAlphaSymmetricSemanticEmbedding": {"Aleph Alpha": "https://python.langchain.com/docs/integrations/providers/aleph_alpha"}, "DashScopeEmbeddings": {"DashScope": "https://python.langchain.com/docs/integrations/text_embedding/dashscope", "DashVector": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/dashvector"}, "TensorflowHubEmbeddings": {"TensorflowHub": "https://python.langchain.com/docs/integrations/text_embedding/tensorflowhub", "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann"}, "ModelScopeEmbeddings": {"ModelScope": "https://python.langchain.com/docs/integrations/providers/modelscope"}, "SagemakerEndpointEmbeddings": {"SageMaker": "https://python.langchain.com/docs/integrations/text_embedding/sagemaker-endpoint", "SageMaker Endpoint": "https://python.langchain.com/docs/integrations/providers/sagemaker_endpoint"}, "EmbeddingsContentHandler": {"SageMaker": "https://python.langchain.com/docs/integrations/text_embedding/sagemaker-endpoint"}, "LocalAIEmbeddings": {"LocalAI": "https://python.langchain.com/docs/integrations/text_embedding/localai"}, "WebBaseLoader": {"RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase", "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama", "Vectorstore": "https://python.langchain.com/docs/integrations/toolkits/vectorstore", "Zep": "https://python.langchain.com/docs/integrations/vectorstores/zep", "WebBaseLoader": "https://python.langchain.com/docs/integrations/document_loaders/web_base", "MergeDocLoader": "https://python.langchain.com/docs/integrations/document_loaders/merge_doc_loader", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/chatbots", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/summarization", "Question Answering": "https://python.langchain.com/docs/use_cases/question_answering/question_answering", "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", "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama", "Zep": "https://python.langchain.com/docs/integrations/vectorstores/zep", "your local model path": "https://python.langchain.com/docs/integrations/vectorstores/vearch", "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", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/chatbots", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/code_understanding", "Question Answering": "https://python.langchain.com/docs/use_cases/question_answering/question_answering", "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", "!pip install bs4": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/marathon_times", "MultiVector Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector", "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", "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama", "Confident": "https://python.langchain.com/docs/integrations/callbacks/confident", "Chroma": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query", "Vectorstore": "https://python.langchain.com/docs/integrations/toolkits/vectorstore", "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks", "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic", "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/chatbots", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/code_understanding", "Question Answering": "https://python.langchain.com/docs/use_cases/question_answering/question_answering", "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA", "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa", "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation", "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/more/agents/agents/sales_agent_with_context", "MultiVector Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector", "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever", "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research", "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder", "Memory in the Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs", "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore", "Few-shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat", "Router": "https://python.langchain.com/docs/modules/chains/foundational/router", "Loading from LangChainHub": "https://python.langchain.com/docs/modules/chains/how_to/from_hub"}, "RePhraseQueryRetriever": {"RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase"}, "PromptTemplate": {"RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase", "Zapier Natural Language Actions": "https://python.langchain.com/docs/integrations/tools/zapier", "Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator", "Streamlit Chat Message History": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history", "Context": "https://python.langchain.com/docs/integrations/callbacks/context", "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla", "Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking", "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking", "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking", "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking", "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff", "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking", "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte", "Vectara Text Generation": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation", "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla", "your local model path": "https://python.langchain.com/docs/integrations/vectorstores/vearch", "Google Drive": "https://python.langchain.com/docs/integrations/document_loaders/google_drive", "Google Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/llms/google_vertex_ai_palm", "Predibase": "https://python.langchain.com/docs/integrations/llms/predibase", "Hugging Face Local Pipelines": "https://python.langchain.com/docs/integrations/llms/huggingface_pipelines", "Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai", "Fallbacks": "https://python.langchain.com/docs/guides/fallbacks", "Reversible data anonymization with Microsoft Presidio": "https://python.langchain.com/docs/guides/privacy/presidio_data_anonymization/reversible", "Data anonymization with Microsoft Presidio": "https://python.langchain.com/docs/guides/privacy/presidio_data_anonymization/index", "Removing logical fallacies from model output": "https://python.langchain.com/docs/guides/safety/logical_fallacy_chain", "Amazon Comprehend Moderation Chain": "https://python.langchain.com/docs/guides/safety/amazon_comprehend_chain", "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", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/qa_structured/sql", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/apis", "Question Answering": "https://python.langchain.com/docs/use_cases/question_answering/question_answering", "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation", "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "Neo4j DB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_cypher_qa", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multiagent_authoritarian", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/two_agent_debate_tools", "Bash chain": "https://python.langchain.com/docs/use_cases/more/code_writing/llm_bash", "How to use a SmartLLMChain": "https://python.langchain.com/docs/use_cases/more/self_check/smart_llm", "Elasticsearch": "https://python.langchain.com/docs/use_cases/qa_structured/integrations/elasticsearch", "SQL": "https://python.langchain.com/docs/use_cases/sql/sql", "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research", "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder", "Custom Memory": "https://python.langchain.com/docs/modules/memory/custom_memory", "Memory in the Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs", "Memory in LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory", "Multiple Memory classes": "https://python.langchain.com/docs/modules/memory/multiple_memory", "Customizing Conversational Memory": "https://python.langchain.com/docs/modules/memory/conversational_customization", "Conversation Knowledge Graph": "https://python.langchain.com/docs/modules/memory/types/kg", "Logging to file": "https://python.langchain.com/docs/modules/callbacks/filecallbackhandler", "Retry parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/retry", "Datetime parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/datetime", "Pydantic (JSON) parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/pydantic", "Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr", "Select by n-gram overlap": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/ngram_overlap", "Prompt pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining", "Template formats": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/formats", "Connecting to a Feature Store": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/connecting_to_a_feature_store", "Router": "https://python.langchain.com/docs/modules/chains/foundational/router", "Transformation": "https://python.langchain.com/docs/modules/chains/foundational/transformation", "Custom chain": "https://python.langchain.com/docs/modules/chains/how_to/custom_chain", "Async API": "https://python.langchain.com/docs/modules/chains/how_to/async_chain", "First we add a step to load memory": "https://python.langchain.com/docs/expression_language/cookbook/retrieval", "Configure Runnable traces": "https://python.langchain.com/docs/expression_language/how_to/trace_config"}, "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", "Multiple Memory classes": "https://python.langchain.com/docs/modules/memory/multiple_memory"}, "VectorStoreRetrieverMemory": {"Zep": "https://python.langchain.com/docs/integrations/retrievers/zep_memorystore"}, "HumanMessage": {"Zep": "https://python.langchain.com/docs/integrations/retrievers/zep_memorystore", "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory", "SQL Chat Message History": "https://python.langchain.com/docs/integrations/memory/sql_chat_message_history", "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", "Konko": "https://python.langchain.com/docs/integrations/chat/konko", "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", "Bedrock Chat": "https://python.langchain.com/docs/integrations/chat/bedrock", "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat", "Ollama": "https://python.langchain.com/docs/integrations/chat/ollama", "Azure": "https://python.langchain.com/docs/integrations/chat/azure_chat_openai", "Baidu Qianfan": "https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint", "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", "LLMonitor": "https://python.langchain.com/docs/integrations/callbacks/llmonitor", "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", "Set env var OPENAI_API_KEY or load from a .env file:": "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/more/agents/agent_simulations/camel_role_playing", "Multi-Agent Simulated Environment: Petting Zoo": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/petting_zoo", "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multiagent_bidding", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multiagent_authoritarian", "Two-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/two_player_dnd", "Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multi_player_dnd", "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/gymnasium", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/more/agents/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"}, "ZepRetriever": {"Zep": "https://python.langchain.com/docs/integrations/providers/zep", "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory"}, "VespaRetriever": {"Vespa": "https://python.langchain.com/docs/integrations/providers/vespa"}, "AmazonKendraRetriever": {"Amazon Kendra": "https://python.langchain.com/docs/integrations/retrievers/amazon_kendra_retriever"}, "TextLoader": {"Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker", "Confident": "https://python.langchain.com/docs/integrations/callbacks/confident", "Elasticsearch": "https://python.langchain.com/docs/integrations/vectorstores/elasticsearch", "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat", "Vectorstore": "https://python.langchain.com/docs/integrations/toolkits/vectorstore", "LanceDB": "https://python.langchain.com/docs/integrations/vectorstores/lancedb", "sqlite-vss": "https://python.langchain.com/docs/integrations/vectorstores/sqlitevss", "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/modules/data_connection/retrievers/self_query/vectara_self_query", "PGVector": "https://python.langchain.com/docs/integrations/vectorstores/pgvector", "Rockset": "https://python.langchain.com/docs/integrations/vectorstores/rockset", "DingoDB": "https://python.langchain.com/docs/integrations/vectorstores/dingo", "Zilliz": "https://python.langchain.com/docs/integrations/vectorstores/zilliz", "SingleStoreDB": "https://python.langchain.com/docs/integrations/vectorstores/singlestoredb", "Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy", "Typesense": "https://python.langchain.com/docs/integrations/vectorstores/typesense", "Atlas": "https://python.langchain.com/docs/integrations/vectorstores/atlas", "Activeloop Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake", "Neo4j Vector Index": "https://python.langchain.com/docs/integrations/vectorstores/neo4jvector", "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", "Baidu Cloud VectorSearch": "https://python.langchain.com/docs/integrations/vectorstores/baiducloud_vector_search", "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks", "scikit-learn": "https://python.langchain.com/docs/integrations/vectorstores/sklearn", "Tencent Cloud VectorDB": "https://python.langchain.com/docs/integrations/vectorstores/tencentvectordb", "DocArray HnswSearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_hnsw", "MyScale": "https://python.langchain.com/docs/integrations/vectorstores/myscale", "ClickHouse": "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", "DocArray InMemorySearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_in_memory", "Postgres Embedding": "https://python.langchain.com/docs/integrations/vectorstores/pgembedding", "Faiss": "https://python.langchain.com/docs/integrations/vectorstores/faiss", "Epsilla": "https://python.langchain.com/docs/integrations/vectorstores/epsilla", "AnalyticDB": "https://python.langchain.com/docs/integrations/vectorstores/analyticdb", "Hologres": "https://python.langchain.com/docs/integrations/vectorstores/hologres", "your local model path": "https://python.langchain.com/docs/integrations/vectorstores/vearch", "MongoDB Atlas": "https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas", "Meilisearch": "https://python.langchain.com/docs/integrations/vectorstores/meilisearch", "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents", "Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake", "Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat", "Graph QA": "https://python.langchain.com/docs/use_cases/more/graph/graph_qa", "Caching": "https://python.langchain.com/docs/modules/data_connection/text_embedding/caching_embeddings", "MultiVector Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector", "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", "Facebook Faiss": "https://python.langchain.com/docs/integrations/providers/facebook_faiss", "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", "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents", "Agents": "https://python.langchain.com/docs/use_cases/more/agents/agents", "AutoGPT": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/autogpt", "BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/baby_agi", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/baby_agi_with_agent", "!pip install bs4": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/marathon_times", "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/more/agents/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/more/agents/agents/custom_agent_with_plugin_retrieval", "Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/characters", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/qa_structured/sql", "SQL": "https://python.langchain.com/docs/use_cases/sql/sql", "Caching": "https://python.langchain.com/docs/modules/data_connection/text_embedding/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", "First we add a step to load memory": "https://python.langchain.com/docs/expression_language/cookbook/retrieval"}, "OpenAI": {"Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker", "Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper", "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools", "OpenWeatherMap": "https://python.langchain.com/docs/integrations/tools/openweathermap", "Search Tools": "https://python.langchain.com/docs/integrations/tools/search_tools", "Zapier Natural Language Actions": "https://python.langchain.com/docs/integrations/tools/zapier", "Gradio": "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", "Confident": "https://python.langchain.com/docs/integrations/callbacks/confident", "LLMonitor": "https://python.langchain.com/docs/integrations/callbacks/llmonitor", "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", "Infino": "https://python.langchain.com/docs/integrations/callbacks/infino", "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", "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": "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": "https://python.langchain.com/docs/integrations/toolkits/csv", "Xorbits": "https://python.langchain.com/docs/integrations/toolkits/xorbits", "Jira": "https://python.langchain.com/docs/integrations/toolkits/jira", "Spark Dataframe": "https://python.langchain.com/docs/integrations/toolkits/spark", "Python": "https://python.langchain.com/docs/integrations/toolkits/python", "SQL Database": "https://python.langchain.com/docs/integrations/toolkits/sql_database", "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla", "JSON": "https://python.langchain.com/docs/integrations/toolkits/json", "Github": "https://python.langchain.com/docs/integrations/toolkits/github", "Pandas Dataframe": "https://python.langchain.com/docs/integrations/toolkits/pandas", "OpenAPI": "https://python.langchain.com/docs/integrations/toolkits/openapi", "Gitlab": "https://python.langchain.com/docs/integrations/toolkits/gitlab", "Vectara": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/vectara_self_query", "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic", "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami", "Amazon Textract ": "https://python.langchain.com/docs/integrations/document_loaders/pdf-amazonTextractPDFLoader", "OpaquePrompts": "https://python.langchain.com/docs/integrations/llms/opaqueprompts", "LLM Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching", "Fallbacks": "https://python.langchain.com/docs/guides/fallbacks", "Removing logical fallacies from model output": "https://python.langchain.com/docs/guides/safety/logical_fallacy_chain", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/apis", "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", "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", "HuggingGPT": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/hugginggpt", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/more/agents/agents/sales_agent_with_context", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/two_agent_debate_tools", "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", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/qa_structured/sql", "Vector SQL Retriever with MyScale": "https://python.langchain.com/docs/use_cases/qa_structured/integrations/myscale_vector_sql", "SQL": "https://python.langchain.com/docs/use_cases/sql/sql", "Milvus": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/milvus_self_query", "Weaviate": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query", "Elasticsearch": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query", "Chroma": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query","DingoDB": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/dingo", "Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone", "Supabase": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/supabase_self_query", "Redis": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/redis_self_query", "MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query", "Deep Lake": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query", "Qdrant": "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", "Memory in the Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs", "Memory in LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory", "Multiple Memory classes": "https://python.langchain.com/docs/modules/memory/multiple_memory", "Customizing Conversational Memory": "https://python.langchain.com/docs/modules/memory/conversational_customization", "Conversation Knowledge Graph": "https://python.langchain.com/docs/modules/memory/types/kg", "Conversation Token Buffer": "https://python.langchain.com/docs/modules/memory/types/token_buffer", "Conversation Summary Buffer": "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", "Adding moderation": "https://python.langchain.com/docs/expression_language/cookbook/moderation"}, "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", "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama", "Confident": "https://python.langchain.com/docs/integrations/callbacks/confident", "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit", "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann", "Activeloop Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake", "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks", "your local model path": "https://python.langchain.com/docs/integrations/vectorstores/vearch", "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", "Question Answering": "https://python.langchain.com/docs/use_cases/question_answering/question_answering", "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/more/agents/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", "Vectara": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/vectara_self_query", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/chatbots", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/code_understanding", "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", "Neo4j Vector Index": "https://python.langchain.com/docs/integrations/vectorstores/neo4jvector", "Postgres 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", "LLM Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching", "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", "!pip install bs4": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/marathon_times", "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/more/agents/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/more/agents/agents/custom_agent_with_plugin_retrieval", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/qa_structured/sql", "SQL": "https://python.langchain.com/docs/use_cases/sql/sql", "Indexing": "https://python.langchain.com/docs/modules/data_connection/indexing", "MultiVector Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector", "Milvus": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/milvus_self_query", "Weaviate": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query", "Vectara": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/vectara_self_query", "DashVector": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/dashvector", "Elasticsearch": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query", "Chroma": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query", "DingoDB": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/dingo", "Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone", "Supabase": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/supabase_self_query", "Redis": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/redis_self_query", "MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query", "Deep Lake": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query", "Qdrant": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query", "Memory in the 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"}, "GoogleVertexAISearchRetriever": {"Google Vertex AI Search": "https://python.langchain.com/docs/integrations/retrievers/google_vertex_ai_search"}, "DocArrayRetriever": {"DocArray Retriever": "https://python.langchain.com/docs/integrations/retrievers/docarray_retriever"}, "SVMRetriever": {"SVM": "https://python.langchain.com/docs/integrations/retrievers/svm", "Question Answering": "https://python.langchain.com/docs/use_cases/question_answering/question_answering"}, "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"}, "AzureAISearchRetriever": {"Azure AI Search": "https://python.langchain.com/docs/integrations/providers/azure_ai_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": "https://python.langchain.com/docs/integrations/tools/awslambda", "Google Drive": "https://python.langchain.com/docs/integrations/tools/google_drive", "Requests": "https://python.langchain.com/docs/integrations/tools/requests", "OpenWeatherMap": "https://python.langchain.com/docs/integrations/providers/openweathermap", "Search Tools": "https://python.langchain.com/docs/integrations/tools/search_tools", "Eleven Labs Text2Speech": "https://python.langchain.com/docs/integrations/tools/eleven_labs_tts", "ArXiv": "https://python.langchain.com/docs/integrations/tools/arxiv", "GraphQL": "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", "LLMonitor": "https://python.langchain.com/docs/integrations/callbacks/llmonitor", "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", "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": "https://python.langchain.com/docs/integrations/providers/portkey/logging_tracing_portkey", "Portkey": "https://python.langchain.com/docs/integrations/providers/portkey/index", "Google Drive tool": "https://python.langchain.com/docs/integrations/toolkits/google_drive", "Bittensor": "https://python.langchain.com/docs/integrations/llms/bittensor", "Amazon API Gateway": "https://python.langchain.com/docs/integrations/llms/amazon_api_gateway", "Debugging": "https://python.langchain.com/docs/guides/debugging", "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough", "Agents": "https://python.langchain.com/docs/use_cases/more/agents/agents", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/more/agents/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": "https://python.langchain.com/docs/integrations/providers/google_serper", "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools", "Yahoo Finance News": "https://python.langchain.com/docs/integrations/tools/yahoo_finance_news", "AWS Lambda": "https://python.langchain.com/docs/integrations/tools/awslambda", "Google Drive": "https://python.langchain.com/docs/integrations/tools/google_drive", "OpenWeatherMap": "https://python.langchain.com/docs/integrations/tools/openweathermap", "Search Tools": "https://python.langchain.com/docs/integrations/tools/search_tools", "Eleven Labs Text2Speech": "https://python.langchain.com/docs/integrations/tools/eleven_labs_tts", "Zapier Natural Language Actions": "https://python.langchain.com/docs/integrations/tools/zapier", "ArXiv": "https://python.langchain.com/docs/integrations/tools/arxiv", "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search", "GraphQL": "https://python.langchain.com/docs/integrations/tools/graphql", "Gradio": "https://python.langchain.com/docs/integrations/tools/gradio_tools", "SceneXplain": "https://python.langchain.com/docs/integrations/tools/sceneXplain", "Eden AI": "https://python.langchain.com/docs/integrations/tools/edenai_tools", "Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator", "Shell (bash)": "https://python.langchain.com/docs/integrations/tools/bash", "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory", "Xata chat memory": "https://python.langchain.com/docs/integrations/memory/xata_chat_message_history", "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history", "LLMonitor": "https://python.langchain.com/docs/integrations/callbacks/llmonitor", "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", "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": "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": "https://python.langchain.com/docs/integrations/toolkits/azure_cognitive_services", "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla", "Gmail": "https://python.langchain.com/docs/integrations/toolkits/gmail", "Github": "https://python.langchain.com/docs/integrations/toolkits/github", "Google Drive tool": "https://python.langchain.com/docs/integrations/toolkits/google_drive", "AINetwork": "https://python.langchain.com/docs/integrations/toolkits/ainetwork", "PlayWright Browser": "https://python.langchain.com/docs/integrations/toolkits/playwright", "Office365": "https://python.langchain.com/docs/integrations/toolkits/office365", "MultiOn": "https://python.langchain.com/docs/integrations/toolkits/multion", "Amadeus": "https://python.langchain.com/docs/integrations/toolkits/amadeus", "Gitlab": "https://python.langchain.com/docs/integrations/toolkits/gitlab", "Bittensor": "https://python.langchain.com/docs/integrations/llms/bittensor", "Amazon API Gateway": "https://python.langchain.com/docs/integrations/llms/amazon_api_gateway", "Debugging": "https://python.langchain.com/docs/guides/debugging", "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough", "Hugging Face Prompt Injection Identification": "https://python.langchain.com/docs/guides/safety/hugging_face_prompt_injection", "Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons", "Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval", "Agents": "https://python.langchain.com/docs/use_cases/more/agents/agents", "Multi-modal outputs: Image & Text": "https://python.langchain.com/docs/use_cases/more/agents/multi_modal/multi_modal_output_agent", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/two_agent_debate_tools", "Multiple callback handlers": "https://python.langchain.com/docs/modules/callbacks/multiple_callbacks", "Multi-Input Tools": "https://python.langchain.com/docs/modules/agents/tools/multi_input_tool", "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools", "Tool Input Schema": "https://python.langchain.com/docs/modules/agents/tools/tool_input_validation", "Human-in-the-loop Tool Validation": "https://python.langchain.com/docs/modules/agents/tools/human_approval", "Self-ask with search": "https://python.langchain.com/docs/modules/agents/agent_types/self_ask_with_search", "ReAct document store": "https://python.langchain.com/docs/modules/agents/agent_types/react_docstore", "OpenAI Multi Functions Agent": "https://python.langchain.com/docs/modules/agents/agent_types/openai_multi_functions_agent", "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore", "Access intermediate steps": "https://python.langchain.com/docs/modules/agents/how_to/intermediate_steps", "Handle parsing errors": "https://python.langchain.com/docs/modules/agents/how_to/handle_parsing_errors", "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter", "Timeouts for agents": "https://python.langchain.com/docs/modules/agents/how_to/max_time_limit", "Streaming final agent output": "https://python.langchain.com/docs/modules/agents/how_to/streaming_stdout_final_only", "Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions", "Cap the max number of iterations": "https://python.langchain.com/docs/modules/agents/how_to/max_iterations", "Custom functions with OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/custom-functions-with-openai-functions-agent", "Async API": "https://python.langchain.com/docs/modules/agents/how_to/async_agent", "Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions", "Human input chat model": "https://python.langchain.com/docs/modules/model_io/models/chat/human_input_chat_model", "Fake LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/fake_llm", "Tracking token usage": "https://python.langchain.com/docs/modules/model_io/models/llms/token_usage_tracking", "Human input LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/human_input_llm"}, "AgentType": {"ChatGPT Plugins": "https://python.langchain.com/docs/integrations/tools/chatgpt_plugins", "Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper", "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools", "Yahoo Finance News": "https://python.langchain.com/docs/integrations/tools/yahoo_finance_news", "AWS Lambda": "https://python.langchain.com/docs/integrations/tools/awslambda", "Google Drive": "https://python.langchain.com/docs/integrations/tools/google_drive", "OpenWeatherMap": "https://python.langchain.com/docs/integrations/tools/openweathermap", "Search Tools": "https://python.langchain.com/docs/integrations/tools/search_tools", "Eleven Labs Text2Speech": "https://python.langchain.com/docs/integrations/tools/eleven_labs_tts", "Zapier Natural Language Actions": "https://python.langchain.com/docs/integrations/tools/zapier", "ArXiv": "https://python.langchain.com/docs/integrations/tools/arxiv", "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search", "GraphQL": "https://python.langchain.com/docs/integrations/tools/graphql", "Eden AI": "https://python.langchain.com/docs/integrations/tools/edenai_tools", "Shell (bash)": "https://python.langchain.com/docs/integrations/tools/bash", "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory", "Xata chat memory": "https://python.langchain.com/docs/integrations/memory/xata_chat_message_history", "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history", "LLMonitor": "https://python.langchain.com/docs/integrations/callbacks/llmonitor", "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla", "Streamlit": "https://python.langchain.com/docs/integrations/callbacks/.ipynb_checkpoints/streamlit-checkpoint", "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking", "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking", "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking", "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": "https://python.langchain.com/docs/integrations/providers/portkey/logging_tracing_portkey", "Portkey": "https://python.langchain.com/docs/integrations/providers/portkey/index", "CSV": "https://python.langchain.com/docs/integrations/toolkits/csv", "Jira": "https://python.langchain.com/docs/integrations/toolkits/jira", "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit", "Python": "https://python.langchain.com/docs/integrations/toolkits/python", "Azure Cognitive Services": "https://python.langchain.com/docs/integrations/toolkits/azure_cognitive_services", "SQL Database": "https://python.langchain.com/docs/integrations/toolkits/sql_database", "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla", "Gmail": "https://python.langchain.com/docs/integrations/toolkits/gmail", "Airbyte Question Answering": "https://python.langchain.com/docs/integrations/toolkits/airbyte_structured_qa", "Github": "https://python.langchain.com/docs/integrations/toolkits/github", "Google Drive tool": "https://python.langchain.com/docs/integrations/toolkits/google_drive", "AINetwork": "https://python.langchain.com/docs/integrations/toolkits/ainetwork", "PlayWright Browser": "https://python.langchain.com/docs/integrations/toolkits/playwright", "Office365": "https://python.langchain.com/docs/integrations/toolkits/office365", "Pandas Dataframe": "https://python.langchain.com/docs/integrations/toolkits/pandas", "MultiOn": "https://python.langchain.com/docs/integrations/toolkits/multion", "Amadeus": "https://python.langchain.com/docs/integrations/toolkits/amadeus", "Gitlab": "https://python.langchain.com/docs/integrations/toolkits/gitlab", "Bittensor": "https://python.langchain.com/docs/integrations/llms/bittensor", "Amazon API Gateway": "https://python.langchain.com/docs/integrations/llms/amazon_api_gateway", "Debugging": "https://python.langchain.com/docs/guides/debugging", "LangSmith Walkthrough": "https://python.langchain.com/docs/guides/langsmith/walkthrough", "Hugging Face Prompt Injection Identification": "https://python.langchain.com/docs/guides/safety/hugging_face_prompt_injection", "Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons", "Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval", "Agents": "https://python.langchain.com/docs/use_cases/more/agents/agents", "Multi-modal outputs: Image & Text": "https://python.langchain.com/docs/use_cases/more/agents/multi_modal/multi_modal_output_agent", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/two_agent_debate_tools", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/qa_structured/sql", "SQL": "https://python.langchain.com/docs/use_cases/sql/sql", "Multiple callback handlers": "https://python.langchain.com/docs/modules/callbacks/multiple_callbacks", "Multi-Input Tools": "https://python.langchain.com/docs/modules/agents/tools/multi_input_tool", "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools", "Tool Input Schema": "https://python.langchain.com/docs/modules/agents/tools/tool_input_validation", "Human-in-the-loop Tool Validation": "https://python.langchain.com/docs/modules/agents/tools/human_approval", "Self-ask with search": "https://python.langchain.com/docs/modules/agents/agent_types/self_ask_with_search", "ReAct document store": "https://python.langchain.com/docs/modules/agents/agent_types/react_docstore", "OpenAI Multi Functions Agent": "https://python.langchain.com/docs/modules/agents/agent_types/openai_multi_functions_agent", "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore", "Access intermediate steps": "https://python.langchain.com/docs/modules/agents/how_to/intermediate_steps", "Handle parsing errors": "https://python.langchain.com/docs/modules/agents/how_to/handle_parsing_errors", "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter", "Timeouts for agents": "https://python.langchain.com/docs/modules/agents/how_to/max_time_limit", "Streaming final agent output": "https://python.langchain.com/docs/modules/agents/how_to/streaming_stdout_final_only", "Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions", "Cap the max number of iterations": "https://python.langchain.com/docs/modules/agents/how_to/max_iterations", "Custom functions with OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/custom-functions-with-openai-functions-agent", "Async API": "https://python.langchain.com/docs/modules/agents/how_to/async_agent", "Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions", "Human input chat model": "https://python.langchain.com/docs/modules/model_io/models/chat/human_input_chat_model", "Fake LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/fake_llm", "Tracking token usage": "https://python.langchain.com/docs/modules/model_io/models/llms/token_usage_tracking", "Human input LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/human_input_llm"}, "AIPluginTool": {"ChatGPT Plugins": "https://python.langchain.com/docs/integrations/tools/chatgpt_plugins"}, "DataForSeoAPIWrapper": {"DataForSeo": "https://python.langchain.com/docs/integrations/tools/dataforseo", "DataForSEO": "https://python.langchain.com/docs/integrations/providers/dataforseo"}, "Tool": {"DataForSeo": "https://python.langchain.com/docs/integrations/tools/dataforseo", "Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper", "SerpAPI": "https://python.langchain.com/docs/integrations/tools/serpapi", "Google Search": "https://python.langchain.com/docs/integrations/tools/google_search", "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory", "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history", "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking", "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit", "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla", "Github": "https://python.langchain.com/docs/integrations/toolkits/github", "Bittensor": "https://python.langchain.com/docs/integrations/llms/bittensor", "Pydantic compatibility": "https://python.langchain.com/docs/guides/pydantic_compatibility", "Comparing Chain Outputs": "https://python.langchain.com/docs/guides/evaluation/examples/comparisons", "Agents": "https://python.langchain.com/docs/use_cases/more/agents/agents", "AutoGPT": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/autogpt", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/baby_agi_with_agent", "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/more/agents/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Wikibase Agent": "https://python.langchain.com/docs/use_cases/more/agents/agents/wikibase_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/more/agents/agents/sales_agent_with_context", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/more/agents/agents/custom_agent_with_plugin_retrieval", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/two_agent_debate_tools", "Message Memory in Agent backed by a database": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db", "Memory in Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory", "Multi-Input Tools": "https://python.langchain.com/docs/modules/agents/tools/multi_input_tool", "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools", "Self-ask with search": "https://python.langchain.com/docs/modules/agents/agent_types/self_ask_with_search", "ReAct document store": "https://python.langchain.com/docs/modules/agents/agent_types/react_docstore", "OpenAI Multi Functions Agent": "https://python.langchain.com/docs/modules/agents/agent_types/openai_multi_functions_agent", "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore", "Custom MRKL agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent", "Handle parsing errors": "https://python.langchain.com/docs/modules/agents/how_to/handle_parsing_errors", "Shared memory across agents and tools": "https://python.langchain.com/docs/modules/agents/how_to/sharedmemory_for_tools", "Custom multi-action agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_multi_action_agent", "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter", "Timeouts for agents": "https://python.langchain.com/docs/modules/agents/how_to/max_time_limit", "Add Memory to OpenAI Functions Agent": "https://python.langchain.com/docs/modules/agents/how_to/add_memory_openai_functions", "Cap the max number of iterations": "https://python.langchain.com/docs/modules/agents/how_to/max_iterations", "Custom agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent", "Use ToolKits with OpenAI Functions": "https://python.langchain.com/docs/modules/agents/how_to/use_toolkits_with_openai_functions", "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval"}, "SearxSearchWrapper": {"SearxNG Search": "https://python.langchain.com/docs/integrations/tools/searx_search", "SearxNG Search API": "https://python.langchain.com/docs/integrations/providers/searx"}, "GoogleSerperAPIWrapper": {"Google Serper": "https://python.langchain.com/docs/integrations/providers/google_serper", "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare"}, "GooglePlacesTool": {"Google Places": "https://python.langchain.com/docs/integrations/tools/google_places"}, "HumanInputRun": {"Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools", "!pip install bs4": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/marathon_times"}, "NucliaUnderstandingAPI": {"Nuclia Understanding": "https://python.langchain.com/docs/integrations/tools/nuclia", "Nuclia Understanding API document transformer": "https://python.langchain.com/docs/integrations/document_transformers/nuclia_transformer", "Nuclia Understanding API document loader": "https://python.langchain.com/docs/integrations/document_loaders/nuclia"}, "YahooFinanceNewsTool": {"Yahoo Finance News": "https://python.langchain.com/docs/integrations/tools/yahoo_finance_news"}, "TwilioAPIWrapper": {"Twilio": "https://python.langchain.com/docs/integrations/tools/twilio"}, "IFTTTWebhook": {"IFTTT WebHooks": "https://python.langchain.com/docs/integrations/tools/ifttt"}, "WikipediaQueryRun": {"Wikipedia": "https://python.langchain.com/docs/integrations/tools/wikipedia"}, "WikipediaAPIWrapper": {"Wikipedia": "https://python.langchain.com/docs/integrations/tools/wikipedia", "Zep Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory"}, "AlphaVantageAPIWrapper": {"Alpha Vantage": "https://python.langchain.com/docs/integrations/tools/alpha_vantage"}, "TextRequestsWrapper": {"Requests": "https://python.langchain.com/docs/integrations/tools/requests", "JSON": "https://python.langchain.com/docs/integrations/toolkits/json", "OpenAPI": "https://python.langchain.com/docs/integrations/toolkits/openapi", "Tool Input Schema": "https://python.langchain.com/docs/modules/agents/tools/tool_input_validation"}, "OpenWeatherMapAPIWrapper": {"OpenWeatherMap": "https://python.langchain.com/docs/integrations/providers/openweathermap"}, "PubmedQueryRun": {"PubMed": "https://python.langchain.com/docs/integrations/tools/pubmed"}, "YouTubeSearchTool": {"YouTube": "https://python.langchain.com/docs/integrations/tools/youtube"}, "ElevenLabsText2SpeechTool": {"Eleven Labs Text2Speech": "https://python.langchain.com/docs/integrations/tools/eleven_labs_tts"}, "VectorstoreIndexCreator": {"Apify": "https://python.langchain.com/docs/integrations/tools/apify", "HuggingFace dataset": "https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset", "Spreedly": "https://python.langchain.com/docs/integrations/document_loaders/spreedly", "Image captions": "https://python.langchain.com/docs/integrations/document_loaders/image_captions", "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma", "Apify Dataset": "https://python.langchain.com/docs/integrations/document_loaders/apify_dataset", "Iugu": "https://python.langchain.com/docs/integrations/document_loaders/iugu", "Stripe": "https://python.langchain.com/docs/integrations/document_loaders/stripe", "Modern Treasury": "https://python.langchain.com/docs/integrations/document_loaders/modern_treasury", "Question Answering": "https://python.langchain.com/docs/use_cases/question_answering/question_answering", "Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval"}, "ApifyWrapper": {"Apify": "https://python.langchain.com/docs/integrations/providers/apify"}, "ZapierToolkit": {"Zapier Natural Language Actions": "https://python.langchain.com/docs/integrations/tools/zapier"}, "ZapierNLAWrapper": {"Zapier Natural Language Actions": "https://python.langchain.com/docs/integrations/tools/zapier"}, "LLMChain": {"Zapier Natural Language Actions": "https://python.langchain.com/docs/integrations/tools/zapier", "Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator", "Streamlit Chat Message History": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history", "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla", "Comet": "https://python.langchain.com/docs/integrations/providers/comet_tracking", "Aim": "https://python.langchain.com/docs/integrations/providers/aim_tracking", "Weights & Biases": "https://python.langchain.com/docs/integrations/providers/wandb_tracking", "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking", "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff", "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking", "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte", "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat", "Vectara Text Generation": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_text_generation", "Natural Language APIs": "https://python.langchain.com/docs/integrations/toolkits/openapi_nla", "JSON": "https://python.langchain.com/docs/integrations/toolkits/json", "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma", "Predibase": "https://python.langchain.com/docs/integrations/llms/predibase", "Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai", "Azure ML": "https://python.langchain.com/docs/integrations/llms/azure_ml", "Removing logical fallacies from model output": "https://python.langchain.com/docs/guides/safety/logical_fallacy_chain", "Amazon Comprehend Moderation Chain": "https://python.langchain.com/docs/guides/safety/amazon_comprehend_chain", "Custom Trajectory Evaluator": "https://python.langchain.com/docs/guides/evaluation/trajectory/custom", "Custom Pairwise Evaluator": "https://python.langchain.com/docs/guides/evaluation/comparison/custom", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/apis", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/summarization", "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation", "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde", "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multiagent_authoritarian", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research", "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder", "Memory in LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory", "Logging to file": "https://python.langchain.com/docs/modules/callbacks/filecallbackhandler", "XML Agent": "https://python.langchain.com/docs/modules/agents/agent_types/xml_agent", "Datetime parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/datetime", "Prompt pipelining": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompts_pipelining", "Connecting to a Feature Store": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/connecting_to_a_feature_store", "Router": "https://python.langchain.com/docs/modules/chains/foundational/router", "Transformation": "https://python.langchain.com/docs/modules/chains/foundational/transformation", "Async API": "https://python.langchain.com/docs/modules/chains/how_to/async_chain"}, "TransformChain": {"Zapier Natural Language Actions": "https://python.langchain.com/docs/integrations/tools/zapier", "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff", "Transformation": "https://python.langchain.com/docs/modules/chains/foundational/transformation"}, "SimpleSequentialChain": {"Zapier Natural Language Actions": "https://python.langchain.com/docs/integrations/tools/zapier", "SageMaker Tracking": "https://python.langchain.com/docs/integrations/providers/sagemaker_tracking", "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff", "Baseten": "https://python.langchain.com/docs/integrations/llms/baseten", "Predibase": "https://python.langchain.com/docs/integrations/llms/predibase", "Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai", "Replicate": "https://python.langchain.com/docs/integrations/llms/replicate", "Transformation": "https://python.langchain.com/docs/modules/chains/foundational/transformation"}, "ZapierNLARunAction": {"Zapier Natural Language Actions": "https://python.langchain.com/docs/integrations/tools/zapier"}, "GoldenQueryAPIWrapper": {"Golden Query": "https://python.langchain.com/docs/integrations/tools/golden_query", "Golden": "https://python.langchain.com/docs/integrations/providers/golden"}, "ArxivAPIWrapper": {"ArXiv": "https://python.langchain.com/docs/integrations/tools/arxiv"}, "tool": {"Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search", "LLMonitor": "https://python.langchain.com/docs/integrations/callbacks/llmonitor", "JSONFormer": "https://python.langchain.com/docs/integrations/llms/jsonformer_experimental", "Agent Trajectory": "https://python.langchain.com/docs/guides/evaluation/trajectory/trajectory_eval", "Agents": "https://python.langchain.com/docs/expression_language/cookbook/agent", "!pip install bs4": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/marathon_times", "Defining Custom Tools": "https://python.langchain.com/docs/modules/agents/tools/custom_tools", "XML Agent": "https://python.langchain.com/docs/modules/agents/agent_types/xml_agent"}, "OpenAIFunctionsAgent": {"Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search", "LLMonitor": "https://python.langchain.com/docs/integrations/callbacks/llmonitor", "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents", "Agents": "https://python.langchain.com/docs/use_cases/more/agents/agents"}, "SystemMessage": {"Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search", "SQL Chat Message History": "https://python.langchain.com/docs/integrations/memory/sql_chat_message_history", "Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic", "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm", "Konko": "https://python.langchain.com/docs/integrations/chat/konko", "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", "Anyscale": "https://python.langchain.com/docs/integrations/chat/anyscale", "LLMonitor": "https://python.langchain.com/docs/integrations/callbacks/llmonitor", "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", "Set env var OPENAI_API_KEY or load from a .env file:": "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", "Agents": "https://python.langchain.com/docs/use_cases/more/agents/agents", "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/camel_role_playing", "Multi-Agent Simulated Environment: Petting Zoo": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/petting_zoo", "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multiagent_bidding", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multiagent_authoritarian", "Two-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/two_player_dnd", "Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multi_player_dnd", "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/gymnasium", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/two_agent_debate_tools", "Memory in 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", "LLMonitor": "https://python.langchain.com/docs/integrations/callbacks/llmonitor", "Jina": "https://python.langchain.com/docs/integrations/providers/jina", "PowerBI Dataset": "https://python.langchain.com/docs/integrations/toolkits/powerbi", "SQL Database": "https://python.langchain.com/docs/integrations/toolkits/sql_database", "JSON": "https://python.langchain.com/docs/integrations/toolkits/json", "Bittensor": "https://python.langchain.com/docs/integrations/llms/bittensor", "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents", "Agents": "https://python.langchain.com/docs/expression_language/cookbook/agent", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/baby_agi_with_agent", "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/more/agents/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Wikibase Agent": "https://python.langchain.com/docs/use_cases/more/agents/agents/wikibase_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/more/agents/agents/sales_agent_with_context", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/more/agents/agents/custom_agent_with_plugin_retrieval", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/qa_structured/sql", "SQL": "https://python.langchain.com/docs/use_cases/sql/sql", "Message Memory in Agent backed by a database": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db", "Memory in Agent": "https://python.langchain.com/docs/modules/memory/agent_with_memory", "XML Agent": "https://python.langchain.com/docs/modules/agents/agent_types/xml_agent", "Custom MRKL agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent", "Shared memory across agents and tools": "https://python.langchain.com/docs/modules/agents/how_to/sharedmemory_for_tools", "Custom multi-action agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_multi_action_agent", "Running Agent as an Iterator": "https://python.langchain.com/docs/modules/agents/how_to/agent_iter", "Custom agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent", "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval"}, "MetaphorSearchAPIWrapper": {"Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search"}, "PlayWrightBrowserToolkit": {"Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search", "PlayWright Browser": "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": "https://python.langchain.com/docs/integrations/toolkits/playwright"}, "MetaphorSearchResults": {"Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search"}, "SerpAPIWrapper": {"SerpAPI": "https://python.langchain.com/docs/integrations/providers/serpapi", "Bittensor": "https://python.langchain.com/docs/integrations/llms/bittensor", "AutoGPT": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/autogpt"}, "GraphQLAPIWrapper": {"GraphQL": "https://python.langchain.com/docs/integrations/tools/graphql"}, "DuckDuckGoSearchRun": {"DuckDuckGo Search": "https://python.langchain.com/docs/integrations/tools/ddg", "Github": "https://python.langchain.com/docs/integrations/toolkits/github", "!pip install bs4": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/marathon_times", "Using tools": "https://python.langchain.com/docs/expression_language/cookbook/tools"}, "DuckDuckGoSearchResults": {"DuckDuckGo Search": "https://python.langchain.com/docs/integrations/tools/ddg"}, "DuckDuckGoSearchAPIWrapper": {"DuckDuckGo Search": "https://python.langchain.com/docs/integrations/tools/ddg"}, "ConversationBufferMemory": {"Gradio": "https://python.langchain.com/docs/integrations/tools/gradio_tools", "SceneXplain": "https://python.langchain.com/docs/integrations/tools/sceneXplain", "Xata chat memory": "https://python.langchain.com/docs/integrations/memory/xata_chat_message_history", "Streamlit Chat Message History": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history", "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history", "Chat Over Documents with Vectara": "https://python.langchain.com/docs/integrations/providers/vectara/vectara_chat", "Bittensor": "https://python.langchain.com/docs/integrations/llms/bittensor", "Bedrock": "https://python.langchain.com/docs/integrations/llms/bedrock", "Set env var OPENAI_API_KEY or load from a .env file:": "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", "Agents": "https://python.langchain.com/docs/use_cases/more/agents/agents", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/two_agent_debate_tools", "Message Memory in Agent backed by a database": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db", "Memory in the Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs", "Memory in LLMChain": "https://python.langchain.com/docs/modules/memory/adding_memory", "Multiple Memory classes": "https://python.langchain.com/docs/modules/memory/multiple_memory", "Customizing Conversational Memory": "https://python.langchain.com/docs/modules/memory/conversational_customization", "Memory in 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", "First we add a step to load memory": "https://python.langchain.com/docs/expression_language/cookbook/retrieval", "Adding memory": "https://python.langchain.com/docs/expression_language/cookbook/memory"}, "SceneXplainTool": {"SceneXplain": "https://python.langchain.com/docs/integrations/tools/sceneXplain"}, "WolframAlphaAPIWrapper": {"Wolfram Alpha": "https://python.langchain.com/docs/integrations/providers/wolfram_alpha"}, "load_huggingface_tool": {"HuggingFace Hub Tools": "https://python.langchain.com/docs/integrations/tools/huggingface_tools"}, "EdenAiSpeechToTextTool": {"Eden AI": "https://python.langchain.com/docs/integrations/tools/edenai_tools"}, "EdenAiTextToSpeechTool": {"Eden AI": "https://python.langchain.com/docs/integrations/tools/edenai_tools"}, "EdenAiExplicitImageTool": {"Eden AI": "https://python.langchain.com/docs/integrations/tools/edenai_tools"}, "EdenAiObjectDetectionTool": {"Eden AI": "https://python.langchain.com/docs/integrations/tools/edenai_tools"}, "EdenAiParsingIDTool": {"Eden AI": "https://python.langchain.com/docs/integrations/tools/edenai_tools"}, "EdenAiParsingInvoiceTool": {"Eden AI": "https://python.langchain.com/docs/integrations/tools/edenai_tools"}, "EdenAiTextModerationTool": {"Eden AI": "https://python.langchain.com/docs/integrations/tools/edenai_tools"}, "EdenAI": {"Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai"}, "GoogleSearchAPIWrapper": {"Google Search": "https://python.langchain.com/docs/integrations/providers/google_search", "Bittensor": "https://python.langchain.com/docs/integrations/llms/bittensor", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/web_scraping", "Agents": "https://python.langchain.com/docs/use_cases/more/agents/agents", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research", "Message Memory in Agent backed by a database": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db", "Memory in 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 (bash)": "https://python.langchain.com/docs/integrations/tools/bash", "Human-in-the-loop Tool Validation": "https://python.langchain.com/docs/modules/agents/tools/human_approval"}, "ReadFileTool": {"File System": "https://python.langchain.com/docs/integrations/tools/filesystem", "AutoGPT": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/autogpt", "!pip install bs4": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/marathon_times"}, "CopyFileTool": {"File System": "https://python.langchain.com/docs/integrations/tools/filesystem"}, "DeleteFileTool": {"File System": "https://python.langchain.com/docs/integrations/tools/filesystem"}, "MoveFileTool": {"File System": "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": "https://python.langchain.com/docs/integrations/tools/filesystem", "AutoGPT": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/autogpt", "!pip install bs4": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/marathon_times"}, "ListDirectoryTool": {"File System": "https://python.langchain.com/docs/integrations/tools/filesystem"}, "FileManagementToolkit": {"File System": "https://python.langchain.com/docs/integrations/tools/filesystem"}, "BraveSearch": {"Brave Search": "https://python.langchain.com/docs/integrations/providers/brave_search"}, "RedisChatMessageHistory": {"Redis Chat Message History": "https://python.langchain.com/docs/integrations/memory/redis_chat_message_history", "Message Memory in Agent backed by a database": "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", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/chatbots", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/two_agent_debate_tools", "Multiple Memory classes": "https://python.langchain.com/docs/modules/memory/multiple_memory", "Customizing Conversational Memory": "https://python.langchain.com/docs/modules/memory/conversational_customization", "Conversation Knowledge Graph": "https://python.langchain.com/docs/modules/memory/types/kg", "Conversation Token Buffer": "https://python.langchain.com/docs/modules/memory/types/token_buffer", "Conversation Summary Buffer": "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"}, "XataChatMessageHistory": {"Xata chat memory": "https://python.langchain.com/docs/integrations/memory/xata_chat_message_history"}, "XataVectorStore": {"Xata chat memory": "https://python.langchain.com/docs/integrations/memory/xata_chat_message_history", "Xata": "https://python.langchain.com/docs/integrations/vectorstores/xata"}, "create_retriever_tool": {"Xata chat memory": "https://python.langchain.com/docs/integrations/memory/xata_chat_message_history", "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/qa_structured/sql", "SQL": "https://python.langchain.com/docs/use_cases/sql/sql"}, "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"}, "SQLChatMessageHistory": {"SQL Chat Message History": "https://python.langchain.com/docs/integrations/memory/sql_chat_message_history"}, "BaseMessage": {"SQL Chat Message History": "https://python.langchain.com/docs/integrations/memory/sql_chat_message_history", "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/camel_role_playing", "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multiagent_bidding", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multiagent_authoritarian", "Multi-Player Dungeons & Dragons": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multi_player_dnd", "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/gymnasium", "Agent Debates with Tools": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/two_agent_debate_tools"}, "BaseMessageConverter": {"SQL Chat Message History": "https://python.langchain.com/docs/integrations/memory/sql_chat_message_history"}, "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": "https://python.langchain.com/docs/integrations/toolkits/python", "Code writing": "https://python.langchain.com/docs/expression_language/cookbook/code_writing"}, "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": "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", "Agents": "https://python.langchain.com/docs/expression_language/cookbook/agent"}, "SystemMessagePromptTemplate": {"Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic", "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm", "Konko": "https://python.langchain.com/docs/integrations/chat/konko", "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", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/chatbots", "CAMEL Role-Playing Autonomous Cooperative Agents": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/camel_role_playing", "Code writing": "https://python.langchain.com/docs/expression_language/cookbook/code_writing"}, "AIMessagePromptTemplate": {"Anthropic": "https://python.langchain.com/docs/integrations/chat/anthropic", "\ud83d\ude85 LiteLLM": "https://python.langchain.com/docs/integrations/chat/litellm", "Konko": "https://python.langchain.com/docs/integrations/chat/konko", "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", "Konko": "https://python.langchain.com/docs/integrations/chat/konko", "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", "Set env var OPENAI_API_KEY or load from a .env file:": "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/more/agents/agent_simulations/camel_role_playing", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multiagent_authoritarian", "Memory in 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", "Code writing": "https://python.langchain.com/docs/expression_language/cookbook/code_writing"}, "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", "Run LLMs locally": "https://python.langchain.com/docs/guides/local_llms", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/code_understanding", "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", "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama", "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", "TextGen": "https://python.langchain.com/docs/integrations/llms/textgen", "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", "Run LLMs locally": "https://python.langchain.com/docs/guides/local_llms", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/code_understanding", "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", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/tagging"}, "ChatKonko": {"Konko": "https://python.langchain.com/docs/integrations/chat/konko"}, "ChatVertexAI": {"Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/chat/google_vertex_ai_palm"}, "BedrockChat": {"Bedrock Chat": "https://python.langchain.com/docs/integrations/chat/bedrock"}, "JinaChat": {"JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat"}, "ChatOllama": {"Ollama": "https://python.langchain.com/docs/integrations/chat/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"}, "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", "Run arbitrary functions": "https://python.langchain.com/docs/expression_language/how_to/functions"}, "QianfanChatEndpoint": {"Baidu Qianfan": "https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint"}, "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", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/extraction"}, "DeepEvalCallbackHandler": {"Confident": "https://python.langchain.com/docs/integrations/callbacks/confident"}, "CharacterTextSplitter": {"Confident": "https://python.langchain.com/docs/integrations/callbacks/confident", "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": "https://python.langchain.com/docs/integrations/toolkits/vectorstore", "LanceDB": "https://python.langchain.com/docs/integrations/vectorstores/lancedb", "sqlite-vss": "https://python.langchain.com/docs/integrations/vectorstores/sqlitevss", "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/modules/data_connection/retrievers/self_query/vectara_self_query", "PGVector": "https://python.langchain.com/docs/integrations/vectorstores/pgvector", "Rockset": "https://python.langchain.com/docs/integrations/vectorstores/rockset", "DingoDB": "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 Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake", "Neo4j Vector Index": "https://python.langchain.com/docs/integrations/vectorstores/neo4jvector", "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", "Baidu Cloud VectorSearch": "https://python.langchain.com/docs/integrations/vectorstores/baiducloud_vector_search", "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks", "scikit-learn": "https://python.langchain.com/docs/integrations/vectorstores/sklearn", "Tencent Cloud VectorDB": "https://python.langchain.com/docs/integrations/vectorstores/tencentvectordb", "DocArray HnswSearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_hnsw", "MyScale": "https://python.langchain.com/docs/integrations/vectorstores/myscale", "ClickHouse": "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", "DocArray InMemorySearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_in_memory", "Postgres Embedding": "https://python.langchain.com/docs/integrations/vectorstores/pgembedding", "Faiss": "https://python.langchain.com/docs/integrations/vectorstores/faiss", "Epsilla": "https://python.langchain.com/docs/integrations/vectorstores/epsilla", "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", "LLM Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching", "Set env var OPENAI_API_KEY or load from a .env file": "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/more/agents/agents/sales_agent_with_context", "Indexing": "https://python.langchain.com/docs/modules/data_connection/indexing", "Caching": "https://python.langchain.com/docs/modules/data_connection/text_embedding/caching_embeddings", "Split by tokens ": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/split_by_token", "Memory in the 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"}, "LLMonitorCallbackHandler": {"LLMonitor": "https://python.langchain.com/docs/integrations/callbacks/llmonitor"}, "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", "OpaquePrompts": "https://python.langchain.com/docs/integrations/llms/opaqueprompts", "Vector SQL Retriever with MyScale": "https://python.langchain.com/docs/use_cases/qa_structured/integrations/myscale_vector_sql", "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", "Run LLMs locally": "https://python.langchain.com/docs/guides/local_llms", "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"}, "InfinoCallbackHandler": {"Infino": "https://python.langchain.com/docs/integrations/providers/infino"}, "FigmaFileLoader": {"Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma"}, "AzureOpenAI": {"Azure OpenAI": "https://python.langchain.com/docs/integrations/llms/azure_openai", "OpenAI": "https://python.langchain.com/docs/integrations/providers/openai"}, "MyScale": {"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"}, "DeepLake": {"Activeloop 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": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query"}, "AmazonAPIGateway": {"Amazon API Gateway": "https://python.langchain.com/docs/integrations/llms/amazon_api_gateway"}, "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"}, "MongoDBAtlasVectorSearch": {"MongoDB Atlas": "https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas"}, "SupabaseVectorStore": {"Supabase (Postgres)": "https://python.langchain.com/docs/integrations/vectorstores/supabase", "Supabase": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/supabase_self_query"}, "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", "Hugging Face Local Pipelines": "https://python.langchain.com/docs/integrations/llms/huggingface_pipelines", "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"}, "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", "Diffbot Graph Transformer": "https://python.langchain.com/docs/use_cases/more/graph/diffbot_graphtransformer"}, "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", "Set env var OPENAI_API_KEY or load from a .env file": "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": "https://python.langchain.com/docs/integrations/toolkits/sql_database", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/qa_structured/sql", "SQL": "https://python.langchain.com/docs/use_cases/sql/sql"}, "SQLDatabaseToolkit": {"CnosDB": "https://python.langchain.com/docs/integrations/providers/cnosdb", "SQL Database": "https://python.langchain.com/docs/integrations/toolkits/sql_database", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/qa_structured/sql", "SQL": "https://python.langchain.com/docs/use_cases/sql/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", "Adding moderation": "https://python.langchain.com/docs/expression_language/cookbook/moderation"}, "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"}, "DingoDB": {"DingoDB": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/dingo"}, "GitLoader": {"Git": "https://python.langchain.com/docs/integrations/document_loaders/git"}, "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"}, "Meilisearch": {"Meilisearch": "https://python.langchain.com/docs/integrations/vectorstores/meilisearch"}, "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": "https://python.langchain.com/docs/integrations/toolkits/sql_database", "Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/qa_structured/sql", "Vector SQL Retriever with MyScale": "https://python.langchain.com/docs/use_cases/qa_structured/integrations/myscale_vector_sql", "SQL": "https://python.langchain.com/docs/use_cases/sql/sql", "sql_db.md": "https://python.langchain.com/docs/expression_language/cookbook/sql_db"}, "Weaviate": {"Weaviate": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query"}, "Clickhouse": {"ClickHouse": "https://python.langchain.com/docs/integrations/vectorstores/clickhouse"}, "ClickhouseSettings": {"ClickHouse": "https://python.langchain.com/docs/integrations/vectorstores/clickhouse"}, "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"}, "ScaNN": {"ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann"}, "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/modules/data_connection/retrievers/self_query/elasticsearch_self_query", "Indexing": "https://python.langchain.com/docs/modules/data_connection/indexing"}, "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/modules/data_connection/retrievers/self_query/milvus_self_query", "Zilliz": "https://python.langchain.com/docs/integrations/vectorstores/zilliz"}, "Qdrant": {"Qdrant": "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/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"}, "PGEmbedding": {"Postgres Embedding": "https://python.langchain.com/docs/integrations/vectorstores/pgembedding"}, "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"}, "Epsilla": {"Epsilla": "https://python.langchain.com/docs/integrations/vectorstores/epsilla"}, "LlamaCpp": {"Llama.cpp": "https://python.langchain.com/docs/integrations/llms/llamacpp", "Run LLMs locally": "https://python.langchain.com/docs/guides/local_llms", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/code_understanding", "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"}, "AINetworkToolkit": {"AINetwork": "https://python.langchain.com/docs/integrations/toolkits/ainetwork"}, "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"}, "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"}, "USearch": {"USearch": "https://python.langchain.com/docs/integrations/vectorstores/usearch"}, "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"}, "ZeroShotAgent": {"Jina": "https://python.langchain.com/docs/integrations/providers/jina", "Bittensor": "https://python.langchain.com/docs/integrations/llms/bittensor", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/baby_agi_with_agent", "Message Memory in Agent backed by a database": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db", "Memory in 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"}, "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", "LLM Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"}, "RedisSemanticCache": {"Redis": "https://python.langchain.com/docs/integrations/providers/redis", "LLM Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"}, "Redis": {"Redis": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/redis_self_query"}, "SelfQueryRetriever": {"Chroma": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query", "Vectara": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/vectara_self_query", "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", "Milvus": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/milvus_self_query", "Weaviate": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query", "DashVector": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/dashvector", "DingoDB": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/dingo", "Elasticsearch": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query", "Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone", "Supabase": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/supabase_self_query", "Redis": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/redis_self_query", "MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query", "Deep Lake": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query", "Qdrant": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query"}, "MatchingEngine": {"Google Vertex AI MatchingEngine": "https://python.langchain.com/docs/integrations/vectorstores/matchingengine"}, "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", "Amazon Comprehend Moderation Chain": "https://python.langchain.com/docs/guides/safety/amazon_comprehend_chain"}, "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/modules/data_connection/retrievers/self_query/dashvector"}, "Cassandra": {"Cassandra": "https://python.langchain.com/docs/integrations/vectorstores/cassandra"}, "TencentVectorDB": {"TencentVectorDB": "https://python.langchain.com/docs/integrations/providers/tencentvectordb", "Tencent Cloud VectorDB": "https://python.langchain.com/docs/integrations/vectorstores/tencentvectordb"}, "Vearch": {"Vearch": "https://python.langchain.com/docs/integrations/providers/vearch"}, "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"}, "MomentoCache": {"Momento": "https://python.langchain.com/docs/integrations/providers/momento", "LLM Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"}, "NIBittensorLLM": {"NIBittensor": "https://python.langchain.com/docs/integrations/providers/bittensor", "Bittensor": "https://python.langchain.com/docs/integrations/llms/bittensor"}, "Neo4jVector": {"Neo4j": "https://python.langchain.com/docs/integrations/providers/neo4j", "Neo4j Vector Index": "https://python.langchain.com/docs/integrations/vectorstores/neo4jvector"}, "Neo4jGraph": {"Neo4j": "https://python.langchain.com/docs/integrations/providers/neo4j", "Diffbot Graph Transformer": "https://python.langchain.com/docs/use_cases/more/graph/diffbot_graphtransformer", "Neo4j DB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_cypher_qa"}, "GraphCypherQAChain": {"Neo4j": "https://python.langchain.com/docs/integrations/providers/neo4j", "Memgraph QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_memgraph_qa", "Diffbot Graph Transformer": "https://python.langchain.com/docs/use_cases/more/graph/diffbot_graphtransformer", "Neo4j DB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_cypher_qa"}, "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": "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/modules/data_connection/retrievers/self_query/vectara_self_query", "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", "Amazon Textract ": "https://python.langchain.com/docs/integrations/document_loaders/pdf-amazonTextractPDFLoader", "SageMakerEndpoint": "https://python.langchain.com/docs/integrations/llms/sagemaker", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/code_understanding", "Question Answering": "https://python.langchain.com/docs/use_cases/question_answering/question_answering", "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", "Memory in the 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/more/agents/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": "https://python.langchain.com/docs/integrations/toolkits/csv"}, "create_xorbits_agent": {"Xorbits": "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": "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": "https://python.langchain.com/docs/integrations/toolkits/python"}, "PythonREPLTool": {"Python": "https://python.langchain.com/docs/integrations/toolkits/python"}, "create_pbi_agent": {"PowerBI Dataset": "https://python.langchain.com/docs/integrations/toolkits/powerbi"}, "PowerBIToolkit": {"PowerBI Dataset": "https://python.langchain.com/docs/integrations/toolkits/powerbi"}, "PowerBIDataset": {"PowerBI Dataset": "https://python.langchain.com/docs/integrations/toolkits/powerbi"}, "AzureCognitiveServicesToolkit": {"Azure Cognitive Services": "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/more/agents/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/more/agents/agents/custom_agent_with_plugin_retrieval"}, "GmailToolkit": {"Gmail": "https://python.langchain.com/docs/integrations/toolkits/gmail"}, "build_resource_service": {"Gmail": "https://python.langchain.com/docs/integrations/toolkits/gmail"}, "get_gmail_credentials": {"Gmail": "https://python.langchain.com/docs/integrations/toolkits/gmail"}, "create_json_agent": {"JSON": "https://python.langchain.com/docs/integrations/toolkits/json"}, "JsonToolkit": {"JSON": "https://python.langchain.com/docs/integrations/toolkits/json"}, "JsonSpec": {"JSON": "https://python.langchain.com/docs/integrations/toolkits/json", "OpenAPI": "https://python.langchain.com/docs/integrations/toolkits/openapi"}, "AirbyteStripeLoader": {"Airbyte Question Answering": "https://python.langchain.com/docs/integrations/toolkits/airbyte_structured_qa", "Airbyte Stripe": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_stripe"}, "create_pandas_dataframe_agent": {"Airbyte Question Answering": "https://python.langchain.com/docs/integrations/toolkits/airbyte_structured_qa", "Pandas Dataframe": "https://python.langchain.com/docs/integrations/toolkits/pandas", "!pip install bs4": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/marathon_times"}, "GitHubToolkit": {"Github": "https://python.langchain.com/docs/integrations/toolkits/github"}, "GitHubAPIWrapper": {"Github": "https://python.langchain.com/docs/integrations/toolkits/github"}, "GitHubAction": {"Github": "https://python.langchain.com/docs/integrations/toolkits/github"}, "create_spark_sql_agent": {"Spark SQL": "https://python.langchain.com/docs/integrations/toolkits/spark_sql"}, "SparkSQLToolkit": {"Spark SQL": "https://python.langchain.com/docs/integrations/toolkits/spark_sql"}, "SparkSQL": {"Spark SQL": "https://python.langchain.com/docs/integrations/toolkits/spark_sql"}, "create_sync_playwright_browser": {"PlayWright Browser": "https://python.langchain.com/docs/integrations/toolkits/playwright"}, "O365Toolkit": {"Office365": "https://python.langchain.com/docs/integrations/toolkits/office365"}, "MultionToolkit": {"MultiOn": "https://python.langchain.com/docs/integrations/toolkits/multion"}, "AmadeusToolkit": {"Amadeus": "https://python.langchain.com/docs/integrations/toolkits/amadeus"}, "create_vectorstore_agent": {"Vectorstore": "https://python.langchain.com/docs/integrations/toolkits/vectorstore"}, "VectorStoreToolkit": {"Vectorstore": "https://python.langchain.com/docs/integrations/toolkits/vectorstore"}, "VectorStoreInfo": {"Vectorstore": "https://python.langchain.com/docs/integrations/toolkits/vectorstore"}, "create_vectorstore_router_agent": {"Vectorstore": "https://python.langchain.com/docs/integrations/toolkits/vectorstore"}, "VectorStoreRouterToolkit": {"Vectorstore": "https://python.langchain.com/docs/integrations/toolkits/vectorstore"}, "reduce_openapi_spec": {"OpenAPI": "https://python.langchain.com/docs/integrations/toolkits/openapi"}, "RequestsWrapper": {"OpenAPI": "https://python.langchain.com/docs/integrations/toolkits/openapi"}, "create_openapi_agent": {"OpenAPI": "https://python.langchain.com/docs/integrations/toolkits/openapi"}, "OpenAPIToolkit": {"OpenAPI": "https://python.langchain.com/docs/integrations/toolkits/openapi"}, "GitLabToolkit": {"Gitlab": "https://python.langchain.com/docs/integrations/toolkits/gitlab"}, "GitLabAPIWrapper": {"Gitlab": "https://python.langchain.com/docs/integrations/toolkits/gitlab"}, "SQLiteVSS": {"sqlite-vss": "https://python.langchain.com/docs/integrations/vectorstores/sqlitevss"}, "RetrievalQAWithSourcesChain": {"Weaviate": "https://python.langchain.com/docs/integrations/vectorstores/weaviate", "Neo4j Vector Index": "https://python.langchain.com/docs/integrations/vectorstores/neo4jvector", "Marqo": "https://python.langchain.com/docs/integrations/vectorstores/marqo", "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/web_scraping", "Question Answering": "https://python.langchain.com/docs/use_cases/question_answering/question_answering", "Vector SQL Retriever with MyScale": "https://python.langchain.com/docs/use_cases/qa_structured/integrations/myscale_vector_sql", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"}, "google_palm": {"ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann"}, "NucliaDB": {"NucliaDB": "https://python.langchain.com/docs/integrations/vectorstores/nucliadb"}, "AttributeInfo": {"Vectara": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/vectara_self_query", "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", "Milvus": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/milvus_self_query", "Weaviate": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query", "DashVector": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/dashvector", "Elasticsearch": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query", "Chroma": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query", "DingoDB": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/dingo", "Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone", "Supabase": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/supabase_self_query", "Redis": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/redis_self_query", "MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query", "Deep Lake": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query", "Qdrant": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query"}, "RedisText": {"Redis": "https://python.langchain.com/docs/integrations/vectorstores/redis"}, "RedisNum": {"Redis": "https://python.langchain.com/docs/integrations/vectorstores/redis"}, "RedisTag": {"Redis": "https://python.langchain.com/docs/integrations/vectorstores/redis"}, "RedisFilter": {"Redis": "https://python.langchain.com/docs/integrations/vectorstores/redis"}, "InMemoryDocstore": {"Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy", "Agents": "https://python.langchain.com/docs/use_cases/more/agents/agents", "AutoGPT": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/autogpt", "BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/baby_agi", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/baby_agi_with_agent", "!pip install bs4": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/marathon_times", "Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/characters"}, "AtlasDB": {"Atlas": "https://python.langchain.com/docs/integrations/vectorstores/atlas"}, "OpenAIChat": {"Activeloop 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"}, "BESVectorStore":{"Baidu Cloud VectorSearch": "https://python.langchain.com/docs/integrations/vectorstores/baiducloud_vector_search"}, "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"}, "ConnectionParams": {"Tencent Cloud VectorDB": "https://python.langchain.com/docs/integrations/vectorstores/tencentvectordb"}, "DocArrayHnswSearch": {"DocArray HnswSearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_hnsw"}, "MyScaleSettings": {"MyScale": "https://python.langchain.com/docs/integrations/vectorstores/myscale"}, "AzureSearch": {"Azure Cognitive Search": "https://python.langchain.com/docs/integrations/vectorstores/azuresearch"}, "ElasticVectorSearch": {"Elasticsearch": "https://python.langchain.com/docs/integrations/vectorstores/elasticsearch", "Memory in the Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs"}, "DocArrayInMemorySearch": {"DocArray InMemorySearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_in_memory"}, "ZepVectorStore": {"Zep": "https://python.langchain.com/docs/integrations/vectorstores/zep"}, "CollectionConfig": {"Zep": "https://python.langchain.com/docs/integrations/vectorstores/zep"}, "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", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/web_scraping"}, "BeautifulSoupTransformer": {"Beautiful Soup": "https://python.langchain.com/docs/integrations/document_transformers/beautiful_soup", "Set env var OPENAI_API_KEY or load from a .env file:": "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", "Set env var OPENAI_API_KEY or load from a .env file:": "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", "Set env var OPENAI_API_KEY or load from a .env file:": "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"}, "Blob": {"docai.md": "https://python.langchain.com/docs/integrations/document_transformers/docai", "Embaas": "https://python.langchain.com/docs/integrations/document_loaders/embaas"}, "DocAIParser": {"docai.md": "https://python.langchain.com/docs/integrations/document_transformers/docai"}, "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"}, "AssemblyAIAudioTranscriptLoader": {"AssemblyAI Audio Transcripts": "https://python.langchain.com/docs/integrations/document_loaders/assemblyai"}, "TranscriptFormat": {"AssemblyAI Audio Transcripts": "https://python.langchain.com/docs/integrations/document_loaders/assemblyai"}, "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"}, "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", "OpaquePrompts": "https://python.langchain.com/docs/integrations/llms/opaqueprompts", "Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/chatbots", "Meta-Prompt": "https://python.langchain.com/docs/use_cases/more/agents/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", "LLM Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/summarization"}, "IuguLoader": {"Iugu": "https://python.langchain.com/docs/integrations/document_loaders/iugu"}, "SharePointLoader": {"Microsoft SharePoint": "https://python.langchain.com/docs/integrations/document_loaders/microsoft_sharepoint"}, "UnstructuredEPubLoader": {"EPub ": "https://python.langchain.com/docs/integrations/document_loaders/epub"}, "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"}, "PolarsDataFrameLoader": {"Polars DataFrame": "https://python.langchain.com/docs/integrations/document_loaders/polars_dataframe"}, "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"}, "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"}, "AmazonTextractPDFLoader": {"Amazon Textract ": "https://python.langchain.com/docs/integrations/document_loaders/pdf-amazonTextractPDFLoader"}, "Language": {"Source Code": "https://python.langchain.com/docs/integrations/document_loaders/source_code", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/code_understanding"}, "LanguageParser": {"Source Code": "https://python.langchain.com/docs/integrations/document_loaders/source_code", "Set env var OPENAI_API_KEY or load from a .env file": "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"}, "DocumentIntelligenceLoader": {"Azure Document Intelligence": "https://python.langchain.com/docs/integrations/document_loaders/azure_document_intelligence"}, "StochasticAI": {"StochasticAI": "https://python.langchain.com/docs/integrations/llms/stochasticai"}, "FireworksChat": {"Fireworks": "https://python.langchain.com/docs/integrations/llms/fireworks"}, "OctoAIEndpoint": {"OctoAI": "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"}, "ForefrontAI": {"ForefrontAI": "https://python.langchain.com/docs/integrations/llms/forefrontai"}, "MosaicML": {"MosaicML": "https://python.langchain.com/docs/integrations/llms/mosaicml"}, "KoboldApiLLM": {"KoboldAI API": "https://python.langchain.com/docs/integrations/llms/koboldai"}, "CerebriumAI": {"CerebriumAI": "https://python.langchain.com/docs/integrations/llms/cerebriumai"}, "VertexAI": {"Google Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/llms/google_vertex_ai_palm"}, "VertexAIModelGarden": {"Google Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/llms/google_vertex_ai_palm"}, "Ollama": {"Ollama": "https://python.langchain.com/docs/integrations/llms/ollama", "Run LLMs locally": "https://python.langchain.com/docs/guides/local_llms"}, "OpaquePrompts": {"OpaquePrompts": "https://python.langchain.com/docs/integrations/llms/opaqueprompts"}, "RunnableMap": {"OpaquePrompts": "https://python.langchain.com/docs/integrations/llms/opaqueprompts", "interface.md": "https://python.langchain.com/docs/expression_language/interface", "First we add a step to load memory": "https://python.langchain.com/docs/expression_language/cookbook/retrieval", "sql_db.md": "https://python.langchain.com/docs/expression_language/cookbook/sql_db", "prompt_llm_parser.md": "https://python.langchain.com/docs/expression_language/cookbook/prompt_llm_parser", "Adding memory": "https://python.langchain.com/docs/expression_language/cookbook/memory", "multiple_chains.md": "https://python.langchain.com/docs/expression_language/cookbook/multiple_chains"}, "TitanTakeoff": {"Titan Takeoff": "https://python.langchain.com/docs/integrations/llms/titan_takeoff"}, "Databricks": {"Databricks": "https://python.langchain.com/docs/integrations/llms/databricks"}, "QianfanLLMEndpoint": {"Baidu Qianfan": "https://python.langchain.com/docs/integrations/llms/baidu_qianfan_endpoint"}, "VLLM": {"vLLM": "https://python.langchain.com/docs/integrations/llms/vllm"}, "VLLMOpenAI": {"vLLM": "https://python.langchain.com/docs/integrations/llms/vllm"}, "AzureMLOnlineEndpoint": {"Azure ML": "https://python.langchain.com/docs/integrations/llms/azure_ml"}, "ContentFormatterBase": {"Azure ML": "https://python.langchain.com/docs/integrations/llms/azure_ml"}, "DollyContentFormatter": {"Azure ML": "https://python.langchain.com/docs/integrations/llms/azure_ml"}, "load_llm": {"Azure ML": "https://python.langchain.com/docs/integrations/llms/azure_ml", "Serialization": "https://python.langchain.com/docs/modules/model_io/models/llms/llm_serialization"}, "AzureMLEndpointClient": {"Azure ML": "https://python.langchain.com/docs/integrations/llms/azure_ml"}, "MapReduceChain": {"Manifest": "https://python.langchain.com/docs/integrations/llms/manifest", "LLM Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching", "Set env var OPENAI_API_KEY or load from a .env file": "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", "DashVector": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/dashvector"}, "InMemoryCache": {"LLM Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"}, "SQLiteCache": {"LLM Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"}, "GPTCache": {"LLM Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"}, "SQLAlchemyCache": {"LLM Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching"}, "GooseAI": {"GooseAI": "https://python.langchain.com/docs/integrations/llms/gooseai"}, "OpenLM": {"OpenLM": "https://python.langchain.com/docs/integrations/llms/openlm"}, "CTranslate2": {"CTranslate2": "https://python.langchain.com/docs/integrations/llms/ctranslate2"}, "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"}, "DatetimeOutputParser": {"Fallbacks": "https://python.langchain.com/docs/guides/fallbacks", "Datetime parser": "https://python.langchain.com/docs/modules/model_io/output_parsers/datetime"}, "ConditionalPromptSelector": {"Run LLMs locally": "https://python.langchain.com/docs/guides/local_llms"}, "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"}, "load_chain": {"Hugging Face Prompt Injection Identification": "https://python.langchain.com/docs/guides/safety/hugging_face_prompt_injection", "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"}, "FakeListLLM": {"Amazon Comprehend Moderation Chain": "https://python.langchain.com/docs/guides/safety/amazon_comprehend_chain", "Fake LLM": "https://python.langchain.com/docs/modules/model_io/models/llms/fake_llm"}, "load_prompt": {"Amazon Comprehend Moderation Chain": "https://python.langchain.com/docs/guides/safety/amazon_comprehend_chain", "Serialization": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/prompt_serialization"}, "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", "Agents": "https://python.langchain.com/docs/use_cases/more/agents/agents", "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/more/agents/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Wikibase Agent": "https://python.langchain.com/docs/use_cases/more/agents/agents/wikibase_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/more/agents/agents/sales_agent_with_context", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/more/agents/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"}, "WebResearchRetriever": {"Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/web_scraping", "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"}, "ConversationSummaryMemory": {"Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/chatbots", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/code_understanding", "Multiple Memory classes": "https://python.langchain.com/docs/modules/memory/multiple_memory"}, "ConversationSummaryBufferMemory": {"Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/chatbots", "Conversation Summary Buffer": "https://python.langchain.com/docs/modules/memory/types/summary_buffer"}, "MessagesPlaceholder": {"Set env var OPENAI_API_KEY or load from a .env file:": "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", "Agents": "https://python.langchain.com/docs/use_cases/more/agents/agents", "Memory in 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", "Adding memory": "https://python.langchain.com/docs/expression_language/cookbook/memory"}, "StuffDocumentsChain": {"Set env var OPENAI_API_KEY or load from a .env file": "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": {"Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/summarization"}, "MapReduceDocumentsChain": {"Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/summarization"}, "create_extraction_chain_pydantic": {"Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/extraction"}, "PydanticOutputParser": {"Set env var OPENAI_API_KEY or load from a .env file:": "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": {"Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/apis"}, "APIChain": {"Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/apis"}, "open_meteo_docs": {"Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/apis"}, "tmdb_docs": {"Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/apis"}, "podcast_docs": {"Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/apis"}, "LLMRequestsChain": {"Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/apis"}, "create_tagging_chain_pydantic": {"Set env var OPENAI_API_KEY or load from a .env file:": "https://python.langchain.com/docs/use_cases/tagging"}, "MultiQueryRetriever": {"Question Answering": "https://python.langchain.com/docs/use_cases/question_answering/question_answering", "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_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_sql_query_chain": {"Multiple Retrieval Sources": "https://python.langchain.com/docs/use_cases/question_answering/how_to/multiple_retrieval", "Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/qa_structured/sql", "SQL": "https://python.langchain.com/docs/use_cases/sql/sql"}, "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"}, "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"}, "MemgraphGraph": {"Memgraph QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_memgraph_qa"}, "KuzuGraph": {"KuzuQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_kuzu_qa"}, "KuzuQAChain": {"KuzuQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_kuzu_qa"}, "HugeGraphQAChain": {"HugeGraph QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_hugegraph_qa"}, "HugeGraph": {"HugeGraph QA Chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_hugegraph_qa"}, "GraphSparqlQAChain": {"GraphSparqlQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_sparql_qa"}, "RdfGraph": {"GraphSparqlQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_sparql_qa"}, "ArangoGraph": {"ArangoDB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_arangodb_qa"}, "ArangoGraphQAChain": {"ArangoDB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_arangodb_qa"}, "OntotextGraphDBGraph": {"Ontotext GraphDB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_ontotext_graphdb_qa"}, "OntotextGraphDBQAChain": {"Ontotext GraphDB QA chain": "https://python.langchain.com/docs/use_cases/more/graph/graph_ontotext_graphdb_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"}, "FalkorDBGraph": {"FalkorDBQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_falkordb_qa"}, "FalkorDBQAChain": {"FalkorDBQAChain": "https://python.langchain.com/docs/use_cases/more/graph/graph_falkordb_qa"}, "AgentFinish": {"Agents": "https://python.langchain.com/docs/use_cases/more/agents/agents", "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/more/agents/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Wikibase Agent": "https://python.langchain.com/docs/use_cases/more/agents/agents/wikibase_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/more/agents/agents/sales_agent_with_context", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/more/agents/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"}, "BaseSingleActionAgent": {"Agents": "https://python.langchain.com/docs/use_cases/more/agents/agents", "Custom agent": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent"}, "FileChatMessageHistory": {"AutoGPT": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/autogpt"}, "BaseLLM": {"BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/baby_agi", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/baby_agi_with_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/more/agents/agents/sales_agent_with_context"}, "VectorStore": {"BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/baby_agi", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/baby_agi_with_agent"}, "Chain": {"BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/baby_agi", "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/more/agents/autonomous_agents/baby_agi_with_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/more/agents/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/more/agents/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/more/agents/autonomous_agents/marathon_times"}, "LLMSingleActionAgent": {"Plug-and-Plai": "https://python.langchain.com/docs/use_cases/more/agents/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Wikibase Agent": "https://python.langchain.com/docs/use_cases/more/agents/agents/wikibase_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/more/agents/agents/sales_agent_with_context", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/more/agents/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/more/agents/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Wikibase Agent": "https://python.langchain.com/docs/use_cases/more/agents/agents/wikibase_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/more/agents/agents/sales_agent_with_context", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/more/agents/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/more/agents/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Wikibase Agent": "https://python.langchain.com/docs/use_cases/more/agents/agents/wikibase_agent", "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/more/agents/agents/sales_agent_with_context", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/more/agents/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"}, "AIPlugin": {"Plug-and-Plai": "https://python.langchain.com/docs/use_cases/more/agents/agents/custom_agent_with_plugin_retrieval_using_plugnplai", "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/more/agents/agents/custom_agent_with_plugin_retrieval"}, "SteamshipImageGenerationTool": {"Multi-modal outputs: Image & Text": "https://python.langchain.com/docs/use_cases/more/agents/multi_modal/multi_modal_output_agent"}, "RegexParser": {"Multi-Agent Simulated Environment: Petting Zoo": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/petting_zoo", "Multi-agent decentralized speaker selection": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multiagent_bidding", "Multi-agent authoritarian speaker selection": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/multiagent_authoritarian", "Simulated Environment: Gymnasium": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/gymnasium"}, "TimeWeightedVectorStoreRetriever": {"Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/more/agents/agent_simulations/characters"}, "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"}, "ElasticsearchDatabaseChain": {"Set env var OPENAI_API_KEY or load from a .env file": "https://python.langchain.com/docs/use_cases/qa_structured/sql", "Elasticsearch": "https://python.langchain.com/docs/use_cases/qa_structured/integrations/elasticsearch", "SQL": "https://python.langchain.com/docs/use_cases/sql/sql"}, "SQLRecordManager": {"Indexing": "https://python.langchain.com/docs/modules/data_connection/indexing"}, "index": {"Indexing": "https://python.langchain.com/docs/modules/data_connection/indexing"}, "BaseLoader": {"Indexing": "https://python.langchain.com/docs/modules/data_connection/indexing"}, "InMemoryStore": {"Caching": "https://python.langchain.com/docs/modules/data_connection/text_embedding/caching_embeddings", "MultiVector Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector", "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever"}, "LocalFileStore": {"Caching": "https://python.langchain.com/docs/modules/data_connection/text_embedding/caching_embeddings"}, "RedisStore": {"Caching": "https://python.langchain.com/docs/modules/data_connection/text_embedding/caching_embeddings"}, "CacheBackedEmbeddings": {"Caching": "https://python.langchain.com/docs/modules/data_connection/text_embedding/caching_embeddings"}, "EnsembleRetriever": {"Ensemble Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/ensemble"}, "MultiVectorRetriever": {"MultiVector Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector"}, "JsonKeyOutputFunctionsParser": {"MultiVector Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector", "prompt_llm_parser.md": "https://python.langchain.com/docs/expression_language/cookbook/prompt_llm_parser"}, "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": {"Message Memory in Agent backed by a database": "https://python.langchain.com/docs/modules/memory/agent_with_memory_in_db"}, "BaseMemory": {"Custom Memory": "https://python.langchain.com/docs/modules/memory/custom_memory"}, "ConversationKGMemory": {"Conversation Knowledge Graph": "https://python.langchain.com/docs/modules/memory/types/kg"}, "ConversationTokenBufferMemory": {"Conversation Token Buffer": "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", "Agents": "https://python.langchain.com/docs/expression_language/cookbook/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"}, "HumanInputChatModel": {"Human input chat model": "https://python.langchain.com/docs/modules/model_io/models/chat/human_input_chat_model"}, "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"}, "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"}, "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"}, "RunnablePassthrough": {"First we add a step to load memory": "https://python.langchain.com/docs/expression_language/cookbook/retrieval", "prompt_llm_parser.md": "https://python.langchain.com/docs/expression_language/cookbook/prompt_llm_parser", "multiple_chains.md": "https://python.langchain.com/docs/expression_language/cookbook/multiple_chains"}, "format_document": {"First we add a step to load memory": "https://python.langchain.com/docs/expression_language/cookbook/retrieval"}, "RunnableLambda": {"sql_db.md": "https://python.langchain.com/docs/expression_language/cookbook/sql_db", "Run arbitrary functions": "https://python.langchain.com/docs/expression_language/how_to/functions"}, "JsonOutputFunctionsParser": {"prompt_llm_parser.md": "https://python.langchain.com/docs/expression_language/cookbook/prompt_llm_parser"}, "RunnableConfig": {"Run arbitrary functions": "https://python.langchain.com/docs/expression_language/how_to/functions"}, "GoogleSpeechToTextLoader": {"Google Cloud Speech-to-Text": "https://python.langchain.com/docs/integrations/document_loaders/google_speech_to_text"}, "GoogleTranslateTransformer": {"Google Cloud Translation": "https://python.langchain.com/docs/integrations/document_loaders/google_translate"}}
|