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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>
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"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": 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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:": 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"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": 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"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", 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"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 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"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": 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"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": 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"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": 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"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", 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"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": 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"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 ": 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"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": 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