diff --git a/cookbook/code-analysis-deeplake.ipynb b/cookbook/code-analysis-deeplake.ipynb
index b6edfd98be..243ae0141c 100644
--- a/cookbook/code-analysis-deeplake.ipynb
+++ b/cookbook/code-analysis-deeplake.ipynb
@@ -933,7 +933,7 @@
       "**Answer**: The LangChain class includes various types of retrievers such as:\n",
       "\n",
       "- ArxivRetriever\n",
-      "- AzureCognitiveSearchRetriever\n",
+      "- AzureAISearchRetriever\n",
       "- BM25Retriever\n",
       "- ChaindeskRetriever\n",
       "- ChatGPTPluginRetriever\n",
@@ -993,7 +993,7 @@
     {
      "data": {
       "text/plain": [
-       "{'question': 'LangChain possesses a variety of retrievers including:\\n\\n1. ArxivRetriever\\n2. AzureCognitiveSearchRetriever\\n3. BM25Retriever\\n4. ChaindeskRetriever\\n5. ChatGPTPluginRetriever\\n6. ContextualCompressionRetriever\\n7. DocArrayRetriever\\n8. ElasticSearchBM25Retriever\\n9. EnsembleRetriever\\n10. GoogleVertexAISearchRetriever\\n11. AmazonKendraRetriever\\n12. KNNRetriever\\n13. LlamaIndexGraphRetriever\\n14. LlamaIndexRetriever\\n15. MergerRetriever\\n16. MetalRetriever\\n17. MilvusRetriever\\n18. MultiQueryRetriever\\n19. ParentDocumentRetriever\\n20. PineconeHybridSearchRetriever\\n21. PubMedRetriever\\n22. RePhraseQueryRetriever\\n23. RemoteLangChainRetriever\\n24. SelfQueryRetriever\\n25. SVMRetriever\\n26. TFIDFRetriever\\n27. TimeWeightedVectorStoreRetriever\\n28. VespaRetriever\\n29. WeaviateHybridSearchRetriever\\n30. WebResearchRetriever\\n31. WikipediaRetriever\\n32. ZepRetriever\\n33. ZillizRetriever\\n\\nIt also includes self query translators like:\\n\\n1. ChromaTranslator\\n2. DeepLakeTranslator\\n3. MyScaleTranslator\\n4. PineconeTranslator\\n5. QdrantTranslator\\n6. WeaviateTranslator\\n\\nAnd remote retrievers like:\\n\\n1. RemoteLangChainRetriever'}"
+       "{'question': 'LangChain possesses a variety of retrievers including:\\n\\n1. ArxivRetriever\\n2. AzureAISearchRetriever\\n3. BM25Retriever\\n4. ChaindeskRetriever\\n5. ChatGPTPluginRetriever\\n6. ContextualCompressionRetriever\\n7. DocArrayRetriever\\n8. ElasticSearchBM25Retriever\\n9. EnsembleRetriever\\n10. GoogleVertexAISearchRetriever\\n11. AmazonKendraRetriever\\n12. KNNRetriever\\n13. LlamaIndexGraphRetriever\\n14. LlamaIndexRetriever\\n15. MergerRetriever\\n16. MetalRetriever\\n17. MilvusRetriever\\n18. MultiQueryRetriever\\n19. ParentDocumentRetriever\\n20. PineconeHybridSearchRetriever\\n21. PubMedRetriever\\n22. RePhraseQueryRetriever\\n23. RemoteLangChainRetriever\\n24. SelfQueryRetriever\\n25. SVMRetriever\\n26. TFIDFRetriever\\n27. TimeWeightedVectorStoreRetriever\\n28. VespaRetriever\\n29. WeaviateHybridSearchRetriever\\n30. WebResearchRetriever\\n31. WikipediaRetriever\\n32. ZepRetriever\\n33. ZillizRetriever\\n\\nIt also includes self query translators like:\\n\\n1. ChromaTranslator\\n2. DeepLakeTranslator\\n3. MyScaleTranslator\\n4. PineconeTranslator\\n5. QdrantTranslator\\n6. WeaviateTranslator\\n\\nAnd remote retrievers like:\\n\\n1. RemoteLangChainRetriever'}"
       ]
      },
      "execution_count": 31,
@@ -1117,7 +1117,7 @@
       "The LangChain class includes various types of retrievers such as:\n",
       "\n",
       "- ArxivRetriever\n",
-      "- AzureCognitiveSearchRetriever\n",
+      "- AzureAISearchRetriever\n",
       "- BM25Retriever\n",
       "- ChaindeskRetriever\n",
       "- ChatGPTPluginRetriever\n",
diff --git a/docs/api_reference/guide_imports.json b/docs/api_reference/guide_imports.json
index de0ae4b3b3..fad4dcf3e0 100644
--- a/docs/api_reference/guide_imports.json
+++ b/docs/api_reference/guide_imports.json
@@ -1 +1 @@
-{"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": 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"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": 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"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": 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"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": 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"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 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"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": 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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/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"}}
diff --git a/docs/docs/integrations/platforms/microsoft.mdx b/docs/docs/integrations/platforms/microsoft.mdx
index 57a55b0bbd..22556c8c5c 100644
--- a/docs/docs/integrations/platforms/microsoft.mdx
+++ b/docs/docs/integrations/platforms/microsoft.mdx
@@ -252,23 +252,23 @@ from langchain_community.vectorstores import AzureCosmosDBVectorSearch
 ```
 
 ## Retrievers
-### Azure Cognitive Search
+### Azure AI Search
 
->[Azure Cognitive Search](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search) (formerly known as `Azure Search`) is a cloud search service that gives developers infrastructure, APIs, and tools for building a rich search experience over private, heterogeneous content in web, mobile, and enterprise applications.
+>[Azure AI Search](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search) (formerly known as `Azure Search` or `Azure Cognitive Search` ) is a cloud search service that gives developers infrastructure, APIs, and tools for building a rich search experience over private, heterogeneous content in web, mobile, and enterprise applications.
 
 >Search is foundational to any app that surfaces text to users, where common scenarios include catalog or document search, online retail apps, or data exploration over proprietary content. When you create a search service, you'll work with the following capabilities:
 >- A search engine for full text search over a search index containing user-owned content
 >- Rich indexing, with lexical analysis and optional AI enrichment for content extraction and transformation
 >- Rich query syntax for text search, fuzzy search, autocomplete, geo-search and more
 >- Programmability through REST APIs and client libraries in Azure SDKs
->- Azure integration at the data layer, machine learning layer, and AI (Cognitive Services)
+>- Azure integration at the data layer, machine learning layer, and AI (AI Services)
 
 See [set up instructions](https://learn.microsoft.com/en-us/azure/search/search-create-service-portal).
 
-See a [usage example](/docs/integrations/retrievers/azure_cognitive_search).
+See a [usage example](/docs/integrations/retrievers/azure_ai_search).
 
 ```python
-from langchain.retrievers import AzureCognitiveSearchRetriever
+from langchain.retrievers import AzureAISearchRetriever
 ```
 
 ## Toolkits
diff --git a/docs/docs/integrations/retrievers/azure_ai_search.ipynb b/docs/docs/integrations/retrievers/azure_ai_search.ipynb
new file mode 100644
index 0000000000..a88120d2a9
--- /dev/null
+++ b/docs/docs/integrations/retrievers/azure_ai_search.ipynb
@@ -0,0 +1,291 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1edb9e6b",
+   "metadata": {},
+   "source": [
+    "# Azure AI Search\n",
+    "\n",
+    ">[Azure AI Search](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search) (formerly known as `Azure Cognitive Search`or Azure Search) is a cloud search service that gives developers infrastructure, APIs, and tools for building a rich search experience over private, heterogeneous content in web, mobile, and enterprise applications.\n",
+    "\n",
+    ">Search is foundational to any app that surfaces text to users, where common scenarios include catalog or document search, online retail apps, or data exploration over proprietary content. When you create a search service, you'll work with the following capabilities:\n",
+    ">- A search engine for full text search over a search index containing user-owned content\n",
+    ">- Rich indexing, with lexical analysis and optional AI enrichment for content extraction and transformation\n",
+    ">- Rich query syntax for text search, fuzzy search, autocomplete, geo-search and more\n",
+    ">- Programmability through REST APIs and client libraries in Azure SDKs\n",
+    ">- Azure integration at the data layer, machine learning layer, and AI (AI Services)\n",
+    "\n",
+    "This notebook shows how to use Azure AI Search (AAS) within LangChain."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "074b0004",
+   "metadata": {},
+   "source": [
+    "## Set up Azure AI Search\n",
+    "\n",
+    "To set up AAS, please follow the instructions [here](https://learn.microsoft.com/en-us/azure/search/search-create-service-portal).\n",
+    "\n",
+    "Please note you will need\n",
+    "1. the name of your AAS service, \n",
+    "2. the name of your AAS index,\n",
+    "3. your API key.\n",
+    "\n",
+    "Your API key can be either Admin or Query key, but as we only read data it is recommended to use a Query key."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0474661d",
+   "metadata": {},
+   "source": [
+    "## Using the Azure AI Search Retriever"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "39d6074e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "from langchain_community.retrievers import (\n",
+    "    AzureAISearchRetriever,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b7243e6d",
+   "metadata": {},
+   "source": [
+    "Set Service Name, Index Name and API key as environment variables (alternatively, you can pass them as arguments to `AzureAISearchRetriever`). The search index name you use determines which documents are queried, so be sure to select the right one. \n",
+    "\n",
+    "*You may also use `AzureCognitiveSearchRetriever` however this will soon be depreciated. Please switch to `AzureAISearchRetriever` where possible. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "33fd23d1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "os.environ[\"AZURE_AI_SEARCH_SERVICE_NAME\"] = \"<YOUR_AAS_SERVICE_NAME>\"\n",
+    "os.environ[\"AZURE_AI_SEARCH_INDEX_NAME\"] = \"<YOUR_AAS_INDEX_NAME>\"\n",
+    "os.environ[\"AZURE_AI_SEARCH_API_KEY\"] = \"<YOUR_API_KEY>\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "057deaad",
+   "metadata": {},
+   "source": [
+    "Create the Retriever\n",
+    "\n",
+    "`content_key` is the key in the retrieved result to set as the Document page_content.\n",
+    "`top_k` is the number of number of results you'd like to retrieve. Setting it to None (the default) returns all results. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c18d0c4c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "retriever = AzureAISearchRetriever(content_key=\"content\", top_k=10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e94ea104",
+   "metadata": {},
+   "source": [
+    "Now you can use it to retrieve documents from Azure AI Search. \n",
+    "This is the method you would call to do so. It will return all documents relevant to the query. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c8b5794b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "retriever.get_relevant_documents(\"what is langchain?\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "48649d37",
+   "metadata": {},
+   "source": [
+    "## Example \n",
+    "\n",
+    "First let's create an Azure vector store and upload some data to it."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "0b313473",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "from langchain.document_loaders import DirectoryLoader, TextLoader\n",
+    "from langchain.text_splitter import TokenTextSplitter\n",
+    "from langchain.vectorstores import AzureSearch\n",
+    "from langchain_openai import OpenAIEmbeddings\n",
+    "\n",
+    "os.environ[\"OPENAI_API_KEY\"] = \"youropenaiapikey\"\n",
+    "os.environ[\"AZURE_AI_SEARCH_SERVICE_NAME\"] = \"yourazureaisearchservicename\"\n",
+    "os.environ[\"AZURE_AI_SEARCH_API_KEY\"] = \"yourazureaisearchapikey\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e889d1dd",
+   "metadata": {},
+   "source": [
+    "We'll use an embedding model from openai to turn our documents into embeddings stored in the Azure AI Search vector store. We'll also set the index name to `langchain-vector-demo`. This will create a new vector store associated with that index name. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "27af8cdb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "embeddings = OpenAIEmbeddings(model=\"text-embedding-ada-002\")\n",
+    "\n",
+    "vector_store = AzureSearch(\n",
+    "    embedding_function=embeddings.embed_query,\n",
+    "    azure_search_endpoint=os.getenv(\"AZURE_AI_SEARCH_SERVICE_NAME\"),\n",
+    "    azure_search_key=os.getenv(\"AZURE_AI_SEARCH_API_KEY\"),\n",
+    "    index_name=\"langchain-vector-demo\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "76c86a34",
+   "metadata": {},
+   "source": [
+    "Next we'll load data into our newly created vector store. \n",
+    "For this example we load all the text files from a folder named `qna`. We'll split the text in 1000 token chunks with no overlap. Finally the documents are added to our vector store as emeddings."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "f4830b14",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['YWY0NzY1MWYtMTU1Ni00YmEzLTlhNTQtZDQxNWFkMTlkNjMx',\n",
+       " 'MTUzM2EyOGYtYWE0My00OTIyLWJkNWUtMjVjNTgwMzZlMjcx',\n",
+       " 'ZGMyMjQ3N2EtNTQ5NC00ZjZhLWIyMzctYjRlZDYzMWUxNGQ4',\n",
+       " 'OWM5MWQ3YzUtZjFkZS00MGI2LTg1OGMtMmRlYzUwMDc2MzZi',\n",
+       " 'ZmFiYWVkOGQtNTcwYi00YTVmLWE3ZDEtMWQ3MTAxYjI2NTJj',\n",
+       " 'NTUwM2ExMjItNTk4Zi00OTg0LTg1ZDItZTZlMGYyMjJiNTIy']"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "loader = DirectoryLoader(\n",
+    "    \"qna/\",\n",
+    "    glob=\"*.txt\",\n",
+    "    loader_cls=TextLoader,\n",
+    "    loader_kwargs={\"autodetect_encoding\": True},\n",
+    ")\n",
+    "documents = loader.load()\n",
+    "text_splitter = TokenTextSplitter(chunk_size=1000, chunk_overlap=0)\n",
+    "docs = text_splitter.split_documents(documents)\n",
+    "\n",
+    "vector_store.add_documents(documents=docs)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ebb4c433",
+   "metadata": {},
+   "source": [
+    "Next we'll create a retriever similar to the one we created above but we're using the index name associated with our new vector store. In this case that's `langchain-vector-demo`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "7ba2e413",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "retriever = AzureAISearchRetriever(content_key=\"content\", top_k=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f497f09",
+   "metadata": {},
+   "source": [
+    "Now we can retrieve the data that is relevant to our query from the documents we uploaded. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "7edb45e8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[Document(page_content='\\n# What is Azure OpenAI?\\n\\nThe Azure OpenAI service provides REST API access to OpenAI\\'s powerful language models including the GPT-3, Codex and Embeddings model series. These models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and natural language to code translation. Users can access the service through REST APIs, Python SDK, or our web-based interface in the Azure OpenAI Studio.\\n\\n### Features overview\\n\\n| Feature | Azure OpenAI |\\n| --- | --- |\\n| Models available | GPT-3 base series <br> Codex series <br> Embeddings series <br> Learn more in our [Models](./concepts/models.md) page.|\\n| Fine-tuning | Ada <br> Babbage <br> Curie <br> Cushman* <br> Davinci* <br> \\\\* available by request. Please open a support request|\\n| Price | [Available here](https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/) |\\n| Virtual network support | Yes | \\n| Managed Identity| Yes, via Azure Active Directory | \\n| UI experience | **Azure Portal** for account & resource management, <br> **Azure OpenAI Service Studio** for model exploration and fine tuning |\\n| Regional availability | East US <br> South Central US <br> West Europe |\\n| Content filtering | Prompts and completions are evaluated against our content policy with automated systems. High severity content will be filtered. |\\n\\n## Responsible AI\\n\\nAt Microsoft, we\\'re committed to the advancement of AI driven by principles that put people first. Generative models such as the ones available in the Azure OpenAI service have significant potential benefits, but without careful design and thoughtful mitigations, such models have the potential to generate incorrect or even harmful content. Microsoft has made significant investments to help guard against abuse and unintended harm, which includes requiring applicants to show well-defined use cases, incorporating Microsoft’s <a href=\"https://www.microsoft.com/ai/responsible-ai?activetab=pivot1:primaryr6\" target=\"_blank\">principles for responsible AI use</a>, building content filters to support customers, and providing responsible AI implementation guidance to onboarded customers.\\n\\n## How do I get access to Azure OpenAI?\\n\\nHow do I get access to Azure OpenAI Service?\\n\\nAccess is currently limited as we navigate high demand, upcoming product improvements, and <a href=\"https://www.microsoft.com/ai/responsible-ai?activetab=pivot1:primaryr6\" target=\"_blank\">Microsoft’s commitment to responsible AI</a>. For now, we\\'re working with customers with an existing partnership with Microsoft, lower risk use cases, and those committed to incorporating mitigations. In addition to applying for initial access, all solutions using the Azure OpenAI service are required to go through a use case review before they can be released for production use.\\n\\nMore specific information is included in the application form. We appreciate your patience as we work to responsibly enable broader access to the Azure OpenAI service.\\n\\nApply here for initial access or for a production review:\\n\\n<a href=\"https://aka.ms/oaiapply\" target=\"_blank\">Apply now</a>\\n\\nAll solutions using the Azure OpenAI service are also required to go through a use case review before they can be released for production use, and are evaluated on a case-by-case basis. In general, the more sensitive the scenario the more important risk mitigation measures will be for approval.\\n\\n## Comparing Azure OpenAI and OpenAI\\n\\nAzure OpenAI Service gives customers advanced language AI with OpenAI GPT-3, Codex, and DALL-E models with the security and enterprise promise of Azure. Azure OpenAI co-develops the APIs with OpenAI, ensuring compatibility and a smooth transition from one to the other.\\n\\nWith Azure OpenAI, customers get the security capabilities of Microsoft Azure while running the same models as OpenAI. Azure OpenAI offers private networking, regional availability, and responsible AI content filtering.  \\n\\n## Key concepts\\n\\n### Prompts & Completions\\n\\nThe completions endpoint is the core component of the API service. This API provides access to the model\\'s text-in, text-out interface. Users simply need to provide an input  **prompt** containing the English text command, and the model will generate a text **completion**.\\n\\nHere\\'s an example of a simple prompt and completion:\\n\\n>**Prompt', metadata={'@search.score': 2.3721094, 'id': 'MDEyNzU0ZDEtOTlmMy00YjE0LWE2YzMtNWI2ZGYxZjBkYzIx', 'content_vector': [3.636302e-05, -0.014039703, -0.0011298007, -0.005913462, -0.016717235, 0.0152605465, -0.003933059, 0.0037596438, -0.026900182, -0.035265736, 0.035598695, 0.0051747127, -0.030132644, -0.014116006, -0.025956802, 0.004467178, 0.022696596, -0.008871927, 0.013366852, -0.0060591307, -0.017272165, 0.00086967775, -0.01308245, -0.0144559, 0.00079510914, 0.004588569, 0.015759982, -0.029882925, 0.0006828228, -0.012666253, 0.018118432, 0.0032931566, -0.013137943, 0.0011601484, 0.02465272, 0.01996357, 0.016606249, -0.009489286, 0.015690617, 0.00049466715, 0.016606249, 0.028662082, 0.019325402, 0.0052891667, -0.015343786, 0.010522841, -0.009385237, -0.01054365, 0.00014501855, 0.01768836, 0.001506979, 0.04580939, 0.0037908584, -0.00047515793, -0.015080195, -0.022016807, -0.02938349, 0.03226912, 0.012943719, 0.013054704, 0.011743684, -0.0012052364, -0.022238778, 0.004588569, -0.008386364, -0.0002640248, -0.010085834, 0.015038575, 0.0128119225, -0.01893695, 0.029438982, 0.015440899, 0.018770473, -0.008566716, 0.032074895, -0.01099453, -0.015399279, -0.021656103, -0.016966954, 0.0090245325, 0.011986466, -0.015440899, -0.009628017, 0.02289082, 0.019311529, 0.017868713, 0.007172457, 0.007845309, 0.015676744, -0.011022277, 0.011722875, 0.008760941, 0.0127980495, 0.026456239, -0.011882417, 0.015981954, -0.008518159, 0.011639635, -0.005334255, -0.01832653, -0.016897587, 0.019311529, -0.028634336, -0.012492838, -0.029855179, 0.021517372, 0.023806453, -0.008219886, 0.04164742, 0.04134221, -0.0060140425, 0.002322031, -0.016800474, -0.024014551, -0.024916312, -0.0011193958, 0.010939037, -0.018007446, -0.022308145, 0.016814347, 0.0045920373, 0.0418139, -0.0013457028, 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+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "retriever.get_relevant_documents(\"What is Azure OpenAI?\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/docs/integrations/retrievers/azure_cognitive_search.ipynb b/docs/docs/integrations/retrievers/azure_cognitive_search.ipynb
deleted file mode 100644
index 75bb8b2f6a..0000000000
--- a/docs/docs/integrations/retrievers/azure_cognitive_search.ipynb
+++ /dev/null
@@ -1,147 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "1edb9e6b",
-   "metadata": {},
-   "source": [
-    "# Azure Cognitive Search\n",
-    "\n",
-    ">[Azure Cognitive Search](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search) (formerly known as `Azure Search`) is a cloud search service that gives developers infrastructure, APIs, and tools for building a rich search experience over private, heterogeneous content in web, mobile, and enterprise applications.\n",
-    "\n",
-    ">Search is foundational to any app that surfaces text to users, where common scenarios include catalog or document search, online retail apps, or data exploration over proprietary content. When you create a search service, you'll work with the following capabilities:\n",
-    ">- A search engine for full text search over a search index containing user-owned content\n",
-    ">- Rich indexing, with lexical analysis and optional AI enrichment for content extraction and transformation\n",
-    ">- Rich query syntax for text search, fuzzy search, autocomplete, geo-search and more\n",
-    ">- Programmability through REST APIs and client libraries in Azure SDKs\n",
-    ">- Azure integration at the data layer, machine learning layer, and AI (Cognitive Services)\n",
-    "\n",
-    "This notebook shows how to use Azure Cognitive Search (ACS) within LangChain."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "074b0004",
-   "metadata": {},
-   "source": [
-    "## Set up Azure Cognitive Search\n",
-    "\n",
-    "To set up ACS, please follow the instructions [here](https://learn.microsoft.com/en-us/azure/search/search-create-service-portal).\n",
-    "\n",
-    "Please note\n",
-    "1. the name of your ACS service, \n",
-    "2. the name of your ACS index,\n",
-    "3. your API key.\n",
-    "\n",
-    "Your API key can be either Admin or Query key, but as we only read data it is recommended to use a Query key."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0474661d",
-   "metadata": {},
-   "source": [
-    "## Using the Azure Cognitive Search Retriever"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "39d6074e",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "\n",
-    "from langchain_community.retrievers import (\n",
-    "    AzureCognitiveSearchRetriever,\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b7243e6d",
-   "metadata": {},
-   "source": [
-    "Set Service Name, Index Name and API key as environment variables (alternatively, you can pass them as arguments to `AzureCognitiveSearchRetriever`)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "33fd23d1",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "os.environ[\"AZURE_COGNITIVE_SEARCH_SERVICE_NAME\"] = \"<YOUR_ACS_SERVICE_NAME>\"\n",
-    "os.environ[\"AZURE_COGNITIVE_SEARCH_INDEX_NAME\"] = \"<YOUR_ACS_INDEX_NAME>\"\n",
-    "os.environ[\"AZURE_COGNITIVE_SEARCH_API_KEY\"] = \"<YOUR_API_KEY>\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "057deaad",
-   "metadata": {},
-   "source": [
-    "Create the Retriever"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c18d0c4c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "retriever = AzureCognitiveSearchRetriever(content_key=\"content\", top_k=10)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e94ea104",
-   "metadata": {},
-   "source": [
-    "Now you can use retrieve documents from Azure Cognitive Search"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c8b5794b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "retriever.get_relevant_documents(\"what is langchain\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "72eca08e",
-   "metadata": {},
-   "source": [
-    "You can change the number of results returned with the `top_k` parameter. The default value is `None`, which returns all results. "
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.12"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/libs/community/langchain_community/retrievers/__init__.py b/libs/community/langchain_community/retrievers/__init__.py
index 7785d6ed69..07e2eff4b3 100644
--- a/libs/community/langchain_community/retrievers/__init__.py
+++ b/libs/community/langchain_community/retrievers/__init__.py
@@ -26,7 +26,8 @@ _module_lookup = {
     "AmazonKnowledgeBasesRetriever": "langchain_community.retrievers.bedrock",
     "ArceeRetriever": "langchain_community.retrievers.arcee",
     "ArxivRetriever": "langchain_community.retrievers.arxiv",
-    "AzureCognitiveSearchRetriever": "langchain_community.retrievers.azure_cognitive_search",  # noqa: E501
+    "AzureAISearchRetriever": "langchain_community.retrievers.azure_ai_search",  # noqa: E501
+    "AzureCognitiveSearchRetriever": "langchain_community.retrievers.azure_ai_search",  # noqa: E501
     "BM25Retriever": "langchain_community.retrievers.bm25",
     "BreebsRetriever": "langchain_community.retrievers.breebs",
     "ChaindeskRetriever": "langchain_community.retrievers.chaindesk",
diff --git a/libs/community/langchain_community/retrievers/azure_cognitive_search.py b/libs/community/langchain_community/retrievers/azure_ai_search.py
similarity index 81%
rename from libs/community/langchain_community/retrievers/azure_cognitive_search.py
rename to libs/community/langchain_community/retrievers/azure_ai_search.py
index 19e13234bf..5e4c0594bb 100644
--- a/libs/community/langchain_community/retrievers/azure_cognitive_search.py
+++ b/libs/community/langchain_community/retrievers/azure_ai_search.py
@@ -18,13 +18,13 @@ DEFAULT_URL_SUFFIX = "search.windows.net"
 """Default URL Suffix for endpoint connection - commercial cloud"""
 
 
-class AzureCognitiveSearchRetriever(BaseRetriever):
-    """`Azure Cognitive Search` service retriever."""
+class AzureAISearchRetriever(BaseRetriever):
+    """`Azure AI Search` service retriever."""
 
     service_name: str = ""
-    """Name of Azure Cognitive Search service"""
+    """Name of Azure AI Search service"""
     index_name: str = ""
-    """Name of Index inside Azure Cognitive Search service"""
+    """Name of Index inside Azure AI Search service"""
     api_key: str = ""
     """API Key. Both Admin and Query keys work, but for reading data it's
     recommended to use a Query key."""
@@ -45,27 +45,30 @@ class AzureCognitiveSearchRetriever(BaseRetriever):
     def validate_environment(cls, values: Dict) -> Dict:
         """Validate that service name, index name and api key exists in environment."""
         values["service_name"] = get_from_dict_or_env(
-            values, "service_name", "AZURE_COGNITIVE_SEARCH_SERVICE_NAME"
+            values, "service_name", "AZURE_AI_SEARCH_SERVICE_NAME"
         )
         values["index_name"] = get_from_dict_or_env(
-            values, "index_name", "AZURE_COGNITIVE_SEARCH_INDEX_NAME"
+            values, "index_name", "AZURE_AI_SEARCH_INDEX_NAME"
         )
         values["api_key"] = get_from_dict_or_env(
-            values, "api_key", "AZURE_COGNITIVE_SEARCH_API_KEY"
+            values, "api_key", "AZURE_AI_SEARCH_API_KEY"
         )
         return values
 
     def _build_search_url(self, query: str) -> str:
-        url_suffix = get_from_env(
-            "", "AZURE_COGNITIVE_SEARCH_URL_SUFFIX", DEFAULT_URL_SUFFIX
-        )
+        url_suffix = get_from_env("", "AZURE_AI_SEARCH_URL_SUFFIX", DEFAULT_URL_SUFFIX)
         if url_suffix in self.service_name and "https://" in self.service_name:
             base_url = f"{self.service_name}/"
         elif url_suffix in self.service_name and "https://" not in self.service_name:
             base_url = f"https://{self.service_name}/"
         elif url_suffix not in self.service_name and "https://" in self.service_name:
             base_url = f"{self.service_name}.{url_suffix}/"
+        elif (
+            url_suffix not in self.service_name and "https://" not in self.service_name
+        ):
+            base_url = f"https://{self.service_name}.{url_suffix}/"
         else:
+            # pass to Azure to throw a specific error
             base_url = self.service_name
         endpoint_path = f"indexes/{self.index_name}/docs?api-version={self.api_version}"
         top_param = f"&$top={self.top_k}" if self.top_k else ""
@@ -119,3 +122,11 @@ class AzureCognitiveSearchRetriever(BaseRetriever):
             Document(page_content=result.pop(self.content_key), metadata=result)
             for result in search_results
         ]
+
+
+# For backwards compatibility
+class AzureCognitiveSearchRetriever(AzureAISearchRetriever):
+    """`Azure Cognitive Search` service retriever.
+    This version of the retriever will soon be
+    depreciated. Please switch to AzureAISearchRetriever
+    """
diff --git a/libs/community/tests/integration_tests/retrievers/test_azure_ai_search.py b/libs/community/tests/integration_tests/retrievers/test_azure_ai_search.py
new file mode 100644
index 0000000000..78e928480e
--- /dev/null
+++ b/libs/community/tests/integration_tests/retrievers/test_azure_ai_search.py
@@ -0,0 +1,70 @@
+"""Test Azure AI Search wrapper."""
+from langchain_core.documents import Document
+
+from langchain_community.retrievers.azure_ai_search import (
+    AzureAISearchRetriever,
+    AzureCognitiveSearchRetriever,
+)
+
+
+def test_azure_ai_search_get_relevant_documents() -> None:
+    """Test valid call to Azure AI Search.
+
+    In order to run this test, you should provide
+    a `service_name`, azure search `api_key` and an `index_name`
+    as arguments for the AzureAISearchRetriever in both tests.
+    api_version, aiosession and topk_k are optional parameters.
+    """
+    retriever = AzureAISearchRetriever()
+
+    documents = retriever.get_relevant_documents("what is langchain?")
+    for doc in documents:
+        assert isinstance(doc, Document)
+        assert doc.page_content
+
+    retriever = AzureAISearchRetriever(top_k=1)
+    documents = retriever.get_relevant_documents("what is langchain?")
+    assert len(documents) <= 1
+
+
+async def test_azure_ai_search_aget_relevant_documents() -> None:
+    """Test valid async call to Azure AI Search.
+
+    In order to run this test, you should provide
+    a `service_name`, azure search `api_key` and an `index_name`
+    as arguments for the AzureAISearchRetriever.
+    """
+    retriever = AzureAISearchRetriever()
+    documents = await retriever.aget_relevant_documents("what is langchain?")
+    for doc in documents:
+        assert isinstance(doc, Document)
+        assert doc.page_content
+
+
+def test_azure_cognitive_search_get_relevant_documents() -> None:
+    """Test valid call to Azure Cognitive Search.
+
+    This is to test backwards compatibility of the retriever
+    """
+    retriever = AzureCognitiveSearchRetriever()
+
+    documents = retriever.get_relevant_documents("what is langchain?")
+    for doc in documents:
+        assert isinstance(doc, Document)
+        assert doc.page_content
+
+    retriever = AzureCognitiveSearchRetriever(top_k=1)
+    documents = retriever.get_relevant_documents("what is langchain?")
+    assert len(documents) <= 1
+
+
+async def test_azure_cognitive_search_aget_relevant_documents() -> None:
+    """Test valid async call to Azure Cognitive Search.
+
+    This is to test backwards compatibility of the retriever
+    """
+    retriever = AzureCognitiveSearchRetriever()
+    documents = await retriever.aget_relevant_documents("what is langchain?")
+    for doc in documents:
+        assert isinstance(doc, Document)
+        assert doc.page_content
diff --git a/libs/community/tests/integration_tests/retrievers/test_azure_cognitive_search.py b/libs/community/tests/integration_tests/retrievers/test_azure_cognitive_search.py
deleted file mode 100644
index 80c08e2e71..0000000000
--- a/libs/community/tests/integration_tests/retrievers/test_azure_cognitive_search.py
+++ /dev/null
@@ -1,37 +0,0 @@
-"""Test Azure Cognitive Search wrapper."""
-from langchain_core.documents import Document
-
-from langchain_community.retrievers.azure_cognitive_search import (
-    AzureCognitiveSearchRetriever,
-)
-
-
-def test_azure_cognitive_search_get_relevant_documents() -> None:
-    """Test valid call to Azure Cognitive Search.
-
-    In order to run this test, you should provide a service name, azure search api key
-    and an index_name as arguments for the AzureCognitiveSearchRetriever in both tests.
-    """
-    retriever = AzureCognitiveSearchRetriever()
-
-    documents = retriever.get_relevant_documents("what is langchain?")
-    for doc in documents:
-        assert isinstance(doc, Document)
-        assert doc.page_content
-
-    retriever = AzureCognitiveSearchRetriever()
-    documents = retriever.get_relevant_documents("what is langchain?")
-    assert len(documents) <= 1
-
-
-async def test_azure_cognitive_search_aget_relevant_documents() -> None:
-    """Test valid async call to Azure Cognitive Search.
-
-    In order to run this test, you should provide a service name, azure search api key
-    and an index_name as arguments for the AzureCognitiveSearchRetriever.
-    """
-    retriever = AzureCognitiveSearchRetriever()
-    documents = await retriever.aget_relevant_documents("what is langchain?")
-    for doc in documents:
-        assert isinstance(doc, Document)
-        assert doc.page_content
diff --git a/libs/community/tests/unit_tests/retrievers/test_imports.py b/libs/community/tests/unit_tests/retrievers/test_imports.py
index 913d6856e1..851130be31 100644
--- a/libs/community/tests/unit_tests/retrievers/test_imports.py
+++ b/libs/community/tests/unit_tests/retrievers/test_imports.py
@@ -5,6 +5,7 @@ EXPECTED_ALL = [
     "AmazonKnowledgeBasesRetriever",
     "ArceeRetriever",
     "ArxivRetriever",
+    "AzureAISearchRetriever",
     "AzureCognitiveSearchRetriever",
     "BreebsRetriever",
     "ChatGPTPluginRetriever",
diff --git a/libs/langchain/langchain/retrievers/__init__.py b/libs/langchain/langchain/retrievers/__init__.py
index 43e286cee8..e2a44de0d5 100644
--- a/libs/langchain/langchain/retrievers/__init__.py
+++ b/libs/langchain/langchain/retrievers/__init__.py
@@ -60,6 +60,7 @@ __all__ = [
     "AmazonKnowledgeBasesRetriever",
     "ArceeRetriever",
     "ArxivRetriever",
+    "AzureAISearchRetriever",
     "AzureCognitiveSearchRetriever",
     "ChatGPTPluginRetriever",
     "ContextualCompressionRetriever",
diff --git a/libs/langchain/langchain/retrievers/azure_ai_search.py b/libs/langchain/langchain/retrievers/azure_ai_search.py
new file mode 100644
index 0000000000..b7c90caa01
--- /dev/null
+++ b/libs/langchain/langchain/retrievers/azure_ai_search.py
@@ -0,0 +1,6 @@
+from langchain_community.retrievers.azure_ai_search import (
+    AzureAISearchRetriever,
+    AzureCognitiveSearchRetriever,
+)
+
+__all__ = ["AzureAISearchRetriever", "AzureCognitiveSearchRetriever"]
diff --git a/libs/langchain/langchain/retrievers/azure_cognitive_search.py b/libs/langchain/langchain/retrievers/azure_cognitive_search.py
deleted file mode 100644
index 4d722c521e..0000000000
--- a/libs/langchain/langchain/retrievers/azure_cognitive_search.py
+++ /dev/null
@@ -1,5 +0,0 @@
-from langchain_community.retrievers.azure_cognitive_search import (
-    AzureCognitiveSearchRetriever,
-)
-
-__all__ = ["AzureCognitiveSearchRetriever"]
diff --git a/libs/langchain/tests/unit_tests/retrievers/test_imports.py b/libs/langchain/tests/unit_tests/retrievers/test_imports.py
index f7a797e339..0125b0f421 100644
--- a/libs/langchain/tests/unit_tests/retrievers/test_imports.py
+++ b/libs/langchain/tests/unit_tests/retrievers/test_imports.py
@@ -6,6 +6,7 @@ EXPECTED_ALL = [
     "AmazonKnowledgeBasesRetriever",
     "ArceeRetriever",
     "ArxivRetriever",
+    "AzureAISearchRetriever",
     "AzureCognitiveSearchRetriever",
     "ChatGPTPluginRetriever",
     "ContextualCompressionRetriever",