diff --git a/docs/README.md b/docs/README.md
index 7593716a9ea..7d99bcbf194 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -1,3 +1,3 @@
 # LangChain Documentation
 
-For more information on contributing to our documentation, see the [Documentation Contributing Guide](https://python.langchain.com/docs/contributing/documentation)
+For more information on contributing to our documentation, see the [Documentation Contributing Guide](https://python.langchain.com/docs/contributing/how_to/documentation)
diff --git a/docs/api_reference/guide_imports.json b/docs/api_reference/guide_imports.json
index 4f372db195a..78faefefebc 100644
--- a/docs/api_reference/guide_imports.json
+++ b/docs/api_reference/guide_imports.json
@@ -1 +1 @@
-{"ChatPromptTemplate": {"\ud83e\udd9c\ufe0f\ud83c\udfd3 LangServe": "https://python.langchain.com/docs/langserve/", "Conceptual guide": "https://python.langchain.com/docs/concepts/", "# Example": "https://python.langchain.com/docs/versions/migrating_chains/map_rerank_docs_chain/", "# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/llm_router_chain/", "Load docs": "https://python.langchain.com/docs/versions/migrating_chains/conversation_retrieval_chain/", "# Basic example (short documents)": "https://python.langchain.com/docs/versions/migrating_chains/map_reduce_chain/", "How to add a semantic layer over graph database": "https://python.langchain.com/docs/how_to/graph_semantic/", "How to handle long text when doing extraction": "https://python.langchain.com/docs/how_to/extraction_long_text/", "How to add values to a chain's state": "https://python.langchain.com/docs/how_to/assign/", "How to do per-user retrieval": "https://python.langchain.com/docs/how_to/qa_per_user/", "How to track token usage in ChatModels": "https://python.langchain.com/docs/how_to/chat_token_usage_tracking/", "How to create a custom LLM class": "https://python.langchain.com/docs/how_to/custom_llm/", "How to inspect runnables": "https://python.langchain.com/docs/how_to/inspect/", "How to handle cases where no queries are generated": "https://python.langchain.com/docs/how_to/query_no_queries/", "How to use few shot examples in chat models": "https://python.langchain.com/docs/how_to/few_shot_examples_chat/", "How to summarize text through iterative refinement": "https://python.langchain.com/docs/how_to/summarize_refine/", "How to do tool/function calling": "https://python.langchain.com/docs/how_to/function_calling/", "How to create tools": "https://python.langchain.com/docs/how_to/custom_tools/", "How to use prompting alone (no tool calling) to do extraction": "https://python.langchain.com/docs/how_to/extraction_parse/", "How to deal with large databases when doing SQL question-answering": "https://python.langchain.com/docs/how_to/sql_large_db/", "How to use reference examples when doing extraction": "https://python.langchain.com/docs/how_to/extraction_examples/", "How to handle multiple queries when doing query analysis": "https://python.langchain.com/docs/how_to/query_multiple_queries/", "How to add fallbacks to a runnable": "https://python.langchain.com/docs/how_to/fallbacks/", "How to propagate callbacks  constructor": "https://python.langchain.com/docs/how_to/callbacks_constructor/", "How to map values to a graph database": "https://python.langchain.com/docs/how_to/graph_mapping/", "How to save and load LangChain objects": "https://python.langchain.com/docs/how_to/serialization/", "How to do question answering over CSVs": "https://python.langchain.com/docs/how_to/sql_csv/", "How to stream results from your RAG application": "https://python.langchain.com/docs/how_to/qa_streaming/", "How to get your RAG application to return sources": "https://python.langchain.com/docs/how_to/qa_sources/", "How to summarize text through parallelization": "https://python.langchain.com/docs/how_to/summarize_map_reduce/", "How to attach callbacks to a runnable": "https://python.langchain.com/docs/how_to/callbacks_attach/", "How to handle tool errors": "https://python.langchain.com/docs/how_to/tools_error/", "How to add tools to chatbots": "https://python.langchain.com/docs/how_to/chatbots_tools/", "How to add default invocation args to a Runnable": "https://python.langchain.com/docs/how_to/binding/", "How to convert Runnables as Tools": "https://python.langchain.com/docs/how_to/convert_runnable_to_tool/", "How to stream events from a tool": "https://python.langchain.com/docs/how_to/tool_stream_events/", "How to create a dynamic (self-constructing) chain": "https://python.langchain.com/docs/how_to/dynamic_chain/", "How to create custom callback handlers": "https://python.langchain.com/docs/how_to/custom_callbacks/", "How to stream runnables": "https://python.langchain.com/docs/how_to/streaming/", "How to invoke runnables in parallel": "https://python.langchain.com/docs/how_to/parallel/", "How to pass through arguments from one step to the next": "https://python.langchain.com/docs/how_to/passthrough/", "How to retrieve using multiple vectors per document": "https://python.langchain.com/docs/how_to/multi_vector/", "How to add chat history": "https://python.langchain.com/docs/how_to/qa_chat_history_how_to/", "How to add message history": "https://python.langchain.com/docs/how_to/message_history/", "How to add retrieval to chatbots": "https://python.langchain.com/docs/how_to/chatbots_retrieval/", "How to handle multiple retrievers when doing query analysis": "https://python.langchain.com/docs/how_to/query_multiple_retrievers/", "How to get a RAG application to add citations": "https://python.langchain.com/docs/how_to/qa_citations/", "How to run custom functions": "https://python.langchain.com/docs/how_to/functions/", "How to add memory to chatbots": "https://python.langchain.com/docs/how_to/chatbots_memory/", "How deal with high cardinality categoricals when doing query analysis": "https://python.langchain.com/docs/how_to/query_high_cardinality/", "How to return structured data from a model": "https://python.langchain.com/docs/how_to/structured_output/", "How to add ad-hoc tool calling capability to LLMs and Chat Models": "https://python.langchain.com/docs/how_to/tools_prompting/", "LangChain Expression Language Cheatsheet": "https://python.langchain.com/docs/how_to/lcel_cheatsheet/", "How to debug your LLM apps": "https://python.langchain.com/docs/how_to/debugging/", "How to chain runnables": "https://python.langchain.com/docs/how_to/sequence/", "Hybrid Search": "https://python.langchain.com/docs/how_to/hybrid/", "How to migrate from legacy LangChain agents to LangGraph": "https://python.langchain.com/docs/how_to/migrate_agent/", "How to do query validation as part of SQL question-answering": "https://python.langchain.com/docs/how_to/sql_query_checking/", "How to summarize text in a single LLM call": "https://python.langchain.com/docs/how_to/summarize_stuff/", "How to use multimodal prompts": "https://python.langchain.com/docs/how_to/multimodal_prompts/", "How to use few-shot prompting with tool calling": "https://python.langchain.com/docs/how_to/tools_few_shot/", "How to pass callbacks in at runtime": "https://python.langchain.com/docs/how_to/callbacks_runtime/", "How to add examples to the prompt for query analysis": "https://python.langchain.com/docs/how_to/query_few_shot/", "Facebook Messenger": "https://python.langchain.com/docs/integrations/chat_loaders/facebook/", "LangSmith LLM Runs": "https://python.langchain.com/docs/integrations/chat_loaders/langsmith_llm_runs/", "iMessage": "https://python.langchain.com/docs/integrations/chat_loaders/imessage/", "NVIDIA NIMs ": "https://python.langchain.com/docs/integrations/text_embedding/nvidia_ai_endpoints/", "AzureAISearchRetriever": "https://python.langchain.com/docs/integrations/retrievers/azure_ai_search/", "You.com": "https://python.langchain.com/docs/integrations/retrievers/you-retriever/", "Fleet AI Context": "https://python.langchain.com/docs/integrations/retrievers/fleet_context/", "AskNews": "https://python.langchain.com/docs/integrations/retrievers/asknews/", "WikipediaRetriever": "https://python.langchain.com/docs/integrations/retrievers/wikipedia/", "TavilySearchAPIRetriever": "https://python.langchain.com/docs/integrations/retrievers/tavily/", "Activeloop Deep Memory": "https://python.langchain.com/docs/integrations/retrievers/activeloop/", "RAGatouille": "https://python.langchain.com/docs/integrations/retrievers/ragatouille/", "ArxivRetriever": "https://python.langchain.com/docs/integrations/retrievers/arxiv/", "ElasticsearchRetriever": "https://python.langchain.com/docs/integrations/retrievers/elasticsearch_retriever/", "Google Vertex AI Search": "https://python.langchain.com/docs/integrations/retrievers/google_vertex_ai_search/", "Tavily Search": "https://python.langchain.com/docs/integrations/tools/tavily_search/", "FinancialDatasets Toolkit": "https://python.langchain.com/docs/integrations/tools/financial_datasets/", "Databricks Unity Catalog (UC)": "https://python.langchain.com/docs/integrations/tools/databricks/", "Riza Code Interpreter": "https://python.langchain.com/docs/integrations/tools/riza/", "Redis": "https://python.langchain.com/docs/integrations/memory/redis_chat_message_history/", "Google SQL for MySQL": "https://python.langchain.com/docs/integrations/memory/google_sql_mysql/", "Google AlloyDB for PostgreSQL": "https://python.langchain.com/docs/integrations/memory/google_alloydb/", "ZepCloudChatMessageHistory": "https://python.langchain.com/docs/integrations/memory/zep_cloud_chat_message_history/", "AWS DynamoDB": "https://python.langchain.com/docs/integrations/memory/aws_dynamodb/", "Couchbase": "https://python.langchain.com/docs/integrations/memory/couchbase_chat_message_history/", "MongoDB": "https://python.langchain.com/docs/integrations/memory/mongodb_chat_message_history/", "SQL (SQLAlchemy)": "https://python.langchain.com/docs/integrations/memory/sql_chat_message_history/", "Streamlit": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history/", "Google El Carro Oracle": "https://python.langchain.com/docs/integrations/memory/google_el_carro/", "SQLite": "https://python.langchain.com/docs/integrations/memory/sqlite/", "Google SQL for PostgreSQL": "https://python.langchain.com/docs/integrations/memory/google_sql_pg/", "Google SQL for SQL Server": "https://python.langchain.com/docs/integrations/memory/google_sql_mssql/", "TiDB": "https://python.langchain.com/docs/integrations/memory/tidb_chat_message_history/", "Kinetica Language To SQL Chat Model": "https://python.langchain.com/docs/integrations/chat/kinetica/", "ChatFireworks": "https://python.langchain.com/docs/integrations/chat/fireworks/", "ChatYI": "https://python.langchain.com/docs/integrations/chat/yi/", "ChatAnthropic": "https://python.langchain.com/docs/integrations/chat/anthropic/", "ChatGroq": "https://python.langchain.com/docs/integrations/chat/groq/", "ChatGoogleGenerativeAI": "https://python.langchain.com/docs/integrations/chat/google_generative_ai/", "OllamaFunctions": "https://python.langchain.com/docs/integrations/chat/ollama_functions/", "ChatOpenAI": "https://python.langchain.com/docs/integrations/chat/openai/", "ChatVertexAI": "https://python.langchain.com/docs/integrations/chat/google_vertex_ai_palm/", "ChatBedrock": "https://python.langchain.com/docs/integrations/chat/bedrock/", "JinaChat": "https://python.langchain.com/docs/integrations/chat/jinachat/", "ChatOllama": "https://python.langchain.com/docs/integrations/chat/ollama/", "ChatOCIGenAI": "https://python.langchain.com/docs/integrations/chat/oci_generative_ai/", "AzureChatOpenAI": "https://python.langchain.com/docs/integrations/chat/azure_chat_openai/", "Llama.cpp": "https://python.langchain.com/docs/integrations/chat/llamacpp/", "ChatMistralAI": "https://python.langchain.com/docs/integrations/chat/mistralai/", "ChatAI21": "https://python.langchain.com/docs/integrations/chat/ai21/", "ChatDatabricks": "https://python.langchain.com/docs/integrations/chat/databricks/", "ChatTogether": "https://python.langchain.com/docs/integrations/chat/together/", "Llama2Chat": "https://python.langchain.com/docs/integrations/chat/llama2_chat/", "Cohere": "https://python.langchain.com/docs/integrations/providers/cohere/", "Eden AI": "https://python.langchain.com/docs/integrations/chat/edenai/", "ChatWatsonx": "https://python.langchain.com/docs/integrations/chat/ibm_watsonx/", "vLLM Chat": "https://python.langchain.com/docs/integrations/chat/vllm/", "Yuan2.0": "https://python.langchain.com/docs/integrations/chat/yuan2/", "Maritalk": "https://python.langchain.com/docs/integrations/chat/maritalk/", "ChatPerplexity": "https://python.langchain.com/docs/integrations/chat/perplexity/", "ChatUpstage": "https://python.langchain.com/docs/integrations/chat/upstage/", "ChatNVIDIA": "https://python.langchain.com/docs/integrations/chat/nvidia_ai_endpoints/", "Context": "https://python.langchain.com/docs/integrations/callbacks/context/", "Fiddler": "https://python.langchain.com/docs/integrations/callbacks/fiddler/", "UpTrain": "https://python.langchain.com/docs/integrations/callbacks/uptrain/", "MLflow": "https://python.langchain.com/docs/integrations/providers/mlflow_tracking/", "Weaviate": "https://python.langchain.com/docs/integrations/vectorstores/weaviate/", "Yellowbrick": "https://python.langchain.com/docs/integrations/vectorstores/yellowbrick/", "Jaguar Vector Database": "https://python.langchain.com/docs/integrations/vectorstores/jaguar/", "ApertureDB": "https://python.langchain.com/docs/integrations/vectorstores/aperturedb/", "Apache Cassandra": "https://python.langchain.com/docs/integrations/vectorstores/cassandra/", "OpenAI metadata tagger": "https://python.langchain.com/docs/integrations/document_transformers/openai_metadata_tagger/", "Image captions": "https://python.langchain.com/docs/integrations/document_loaders/image_captions/", "Figma": "https://python.langchain.com/docs/integrations/document_loaders/figma/", "OllamaLLM": "https://python.langchain.com/docs/integrations/llms/ollama/", "Build a Retrieval Augmented Generation (RAG) App": "https://python.langchain.com/docs/tutorials/rag/", "Build a Local RAG Application": "https://python.langchain.com/docs/tutorials/local_rag/", "Summarize Text": "https://python.langchain.com/docs/tutorials/summarization/", "Build an Extraction Chain": "https://python.langchain.com/docs/tutorials/extraction/", "Build a Chatbot": "https://python.langchain.com/docs/tutorials/chatbot/", "Conversational RAG": "https://python.langchain.com/docs/tutorials/qa_chat_history/", "Classify Text into Labels": "https://python.langchain.com/docs/tutorials/classification/", "Build a Query Analysis System": "https://python.langchain.com/docs/tutorials/query_analysis/", "Build a Simple LLM Application with LCEL": "https://python.langchain.com/docs/tutorials/llm_chain/", "Build a PDF ingestion and Question/Answering system": "https://python.langchain.com/docs/tutorials/pdf_qa/", "Vector stores and retrievers": "https://python.langchain.com/docs/tutorials/retrievers/"}, "ChatAnthropic": {"\ud83e\udd9c\ufe0f\ud83c\udfd3 LangServe": "https://python.langchain.com/docs/langserve/", "Conceptual guide": "https://python.langchain.com/docs/concepts/", "How to use callbacks in async environments": "https://python.langchain.com/docs/how_to/callbacks_async/", "How to route between sub-chains": "https://python.langchain.com/docs/how_to/routing/", "How to track token usage in ChatModels": "https://python.langchain.com/docs/how_to/chat_token_usage_tracking/", "How to merge consecutive messages of the same type": "https://python.langchain.com/docs/how_to/merge_message_runs/", "How to parse XML output": "https://python.langchain.com/docs/how_to/output_parser_xml/", "How to use prompting alone (no tool calling) to do extraction": "https://python.langchain.com/docs/how_to/extraction_parse/", "How to handle rate limits": "https://python.langchain.com/docs/how_to/chat_model_rate_limiting/", "How to add fallbacks to a runnable": "https://python.langchain.com/docs/how_to/fallbacks/", "How to propagate callbacks  constructor": "https://python.langchain.com/docs/how_to/callbacks_constructor/", "How to stream chat model responses": "https://python.langchain.com/docs/how_to/chat_streaming/", "How to attach callbacks to a runnable": "https://python.langchain.com/docs/how_to/callbacks_attach/", "How to filter messages": "https://python.langchain.com/docs/how_to/filter_messages/", "How to create a dynamic (self-constructing) chain": "https://python.langchain.com/docs/how_to/dynamic_chain/", "How to create custom callback handlers": "https://python.langchain.com/docs/how_to/custom_callbacks/", "How to configure runtime chain internals": "https://python.langchain.com/docs/how_to/configure/", "How to create a custom Output Parser": "https://python.langchain.com/docs/how_to/output_parser_custom/", "Response metadata": "https://python.langchain.com/docs/how_to/response_metadata/", "How to pass callbacks in at runtime": "https://python.langchain.com/docs/how_to/callbacks_runtime/", "Anthropic": "https://python.langchain.com/docs/integrations/providers/anthropic/", "PlayWright Browser Toolkit": "https://python.langchain.com/docs/integrations/tools/playwright/", "Riza Code Interpreter": "https://python.langchain.com/docs/integrations/tools/riza/", "ChatAnthropic": "https://python.langchain.com/docs/integrations/chat/anthropic/", "Log10": "https://python.langchain.com/docs/integrations/providers/log10/", "Build an Agent": "https://python.langchain.com/docs/tutorials/agents/"}, "ChatOpenAI": {"\ud83e\udd9c\ufe0f\ud83c\udfd3 LangServe": "https://python.langchain.com/docs/langserve/", "Conceptual guide": "https://python.langchain.com/docs/concepts/", "# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/llm_router_chain/", "Load docs": "https://python.langchain.com/docs/versions/migrating_chains/retrieval_qa/", "# Example": "https://python.langchain.com/docs/versions/migrating_chains/map_rerank_docs_chain/", "How to add a semantic layer over graph database": "https://python.langchain.com/docs/how_to/graph_semantic/", "How to disable parallel tool calling": "https://python.langchain.com/docs/how_to/tool_calling_parallel/", "How to add values to a chain's state": "https://python.langchain.com/docs/how_to/assign/", "How to track token usage in ChatModels": "https://python.langchain.com/docs/how_to/chat_token_usage_tracking/", "How to inspect runnables": "https://python.langchain.com/docs/how_to/inspect/", "How to bind model-specific tools": "https://python.langchain.com/docs/how_to/tools_model_specific/", "How to handle cases where no queries are generated": "https://python.langchain.com/docs/how_to/query_no_queries/", "How to trim messages": "https://python.langchain.com/docs/how_to/trim_messages/", "How to use few shot examples in chat models": "https://python.langchain.com/docs/how_to/few_shot_examples_chat/", "How to use LangChain with different Pydantic versions": "https://python.langchain.com/docs/how_to/pydantic_compatibility/", "How to use reference examples when doing extraction": "https://python.langchain.com/docs/how_to/extraction_examples/", "How to handle multiple queries when doing query analysis": "https://python.langchain.com/docs/how_to/query_multiple_queries/", "How to add fallbacks to a runnable": "https://python.langchain.com/docs/how_to/fallbacks/", "How to map values to a graph database": "https://python.langchain.com/docs/how_to/graph_mapping/", "How to pass multimodal data directly to models": "https://python.langchain.com/docs/how_to/multimodal_inputs/", "How to save and load LangChain objects": "https://python.langchain.com/docs/how_to/serialization/", "How to use the output-fixing parser": "https://python.langchain.com/docs/how_to/output_parser_fixing/", "How to convert tools to OpenAI Functions": "https://python.langchain.com/docs/how_to/tools_as_openai_functions/", "How to add tools to chatbots": "https://python.langchain.com/docs/how_to/chatbots_tools/", "How to add default invocation args to a Runnable": "https://python.langchain.com/docs/how_to/binding/", "How to invoke runnables in parallel": "https://python.langchain.com/docs/how_to/parallel/", "How to pass through arguments from one step to the next": "https://python.langchain.com/docs/how_to/passthrough/", "How to add chat history": "https://python.langchain.com/docs/how_to/qa_chat_history_how_to/", "How to add retrieval to chatbots": "https://python.langchain.com/docs/how_to/chatbots_retrieval/", "How to configure runtime chain internals": "https://python.langchain.com/docs/how_to/configure/", "How to do retrieval with contextual compression": "https://python.langchain.com/docs/how_to/contextual_compression/", "How to handle multiple retrievers when doing query analysis": "https://python.langchain.com/docs/how_to/query_multiple_retrievers/", "How to construct knowledge graphs": "https://python.langchain.com/docs/how_to/graph_constructing/", "How to retry when a parsing error occurs": "https://python.langchain.com/docs/how_to/output_parser_retry/", "How to use the MultiQueryRetriever": "https://python.langchain.com/docs/how_to/MultiQueryRetriever/", "How to run custom functions": "https://python.langchain.com/docs/how_to/functions/", "How to best prompt for Graph-RAG": "https://python.langchain.com/docs/how_to/graph_prompting/", "How to add memory to chatbots": "https://python.langchain.com/docs/how_to/chatbots_memory/", "How deal with high cardinality categoricals when doing query analysis": "https://python.langchain.com/docs/how_to/query_high_cardinality/", "How to get log probabilities": "https://python.langchain.com/docs/how_to/logprobs/", "How to parse YAML output": "https://python.langchain.com/docs/how_to/output_parser_yaml/", "Response metadata": "https://python.langchain.com/docs/how_to/response_metadata/", "How to parse JSON output": "https://python.langchain.com/docs/how_to/output_parser_json/", "How to do \"self-querying\" retrieval": "https://python.langchain.com/docs/how_to/self_query/", "Hybrid Search": "https://python.langchain.com/docs/how_to/hybrid/", "How to migrate from legacy LangChain agents to LangGraph": "https://python.langchain.com/docs/how_to/migrate_agent/", "How to stream tool calls": "https://python.langchain.com/docs/how_to/tool_streaming/", "How to use multimodal prompts": "https://python.langchain.com/docs/how_to/multimodal_prompts/", "How to add scores to retriever results": "https://python.langchain.com/docs/how_to/add_scores_retriever/", "How to use few-shot prompting with tool calling": "https://python.langchain.com/docs/how_to/tools_few_shot/", "How to add examples to the prompt for query analysis": "https://python.langchain.com/docs/how_to/query_few_shot/", "Model caches": "https://python.langchain.com/docs/integrations/llm_caching/", "WeChat": "https://python.langchain.com/docs/integrations/chat_loaders/wechat/", "Facebook Messenger": 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"https://python.langchain.com/docs/how_to/tool_configure/", "How to do tool/function calling": "https://python.langchain.com/docs/how_to/function_calling/", "How to pass run time values to tools": "https://python.langchain.com/docs/how_to/tool_runtime/", "How to add a human-in-the-loop for tools": "https://python.langchain.com/docs/how_to/tools_human/", "How to create tools": "https://python.langchain.com/docs/how_to/custom_tools/", "How to pass multimodal data directly to models": "https://python.langchain.com/docs/how_to/multimodal_inputs/", "How to force models to call a tool": "https://python.langchain.com/docs/how_to/tool_choice/", "How to handle tool errors": "https://python.langchain.com/docs/how_to/tools_error/", "How to stream events from a tool": "https://python.langchain.com/docs/how_to/tool_stream_events/", "How to stream runnables": "https://python.langchain.com/docs/how_to/streaming/", "How to pass tool outputs to chat models": "https://python.langchain.com/docs/how_to/tool_results_pass_to_model/", "How to add ad-hoc tool calling capability to LLMs and Chat Models": "https://python.langchain.com/docs/how_to/tools_prompting/", "How to return artifacts from a tool": "https://python.langchain.com/docs/how_to/tool_artifacts/", "How to migrate from legacy LangChain agents to LangGraph": "https://python.langchain.com/docs/how_to/migrate_agent/", "How to stream tool calls": "https://python.langchain.com/docs/how_to/tool_streaming/", "How to pass runtime secrets to runnables": "https://python.langchain.com/docs/how_to/runnable_runtime_secrets/", "How to use few-shot prompting with tool calling": "https://python.langchain.com/docs/how_to/tools_few_shot/", "FinancialDatasets Toolkit": "https://python.langchain.com/docs/integrations/tools/financial_datasets/", "Exa Search": "https://python.langchain.com/docs/integrations/tools/exa_search/", "DeepInfra": "https://python.langchain.com/docs/integrations/chat/deepinfra/", "ChatOllama": "https://python.langchain.com/docs/integrations/chat/ollama/", "Llama.cpp": "https://python.langchain.com/docs/integrations/chat/llamacpp/", "Cohere": "https://python.langchain.com/docs/integrations/providers/cohere/", "Eden AI": "https://python.langchain.com/docs/integrations/chat/edenai/", "ChatTongyi": "https://python.langchain.com/docs/integrations/chat/tongyi/", "ChatPremAI": "https://python.langchain.com/docs/integrations/chat/premai/", "ChatNVIDIA": "https://python.langchain.com/docs/integrations/chat/nvidia_ai_endpoints/", "LLMonitor": "https://python.langchain.com/docs/integrations/callbacks/llmonitor/", "PremAI": "https://python.langchain.com/docs/integrations/providers/premai/", "Log, Trace, and Monitor": "https://python.langchain.com/docs/integrations/providers/portkey/logging_tracing_portkey/", "Portkey": "https://python.langchain.com/docs/integrations/providers/portkey/index/", "JSONFormer": "https://python.langchain.com/docs/integrations/llms/jsonformer_experimental/"}, "MultiPromptChain": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/multi_prompt_chain/"}, "ConversationChain": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/conversation_chain/"}, "ConversationBufferMemory": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/conversation_chain/", "Memorize": "https://python.langchain.com/docs/integrations/tools/memorize/", "Gradio": "https://python.langchain.com/docs/integrations/tools/gradio_tools/", "SceneXplain": "https://python.langchain.com/docs/integrations/tools/sceneXplain/", "Reddit Search ": "https://python.langchain.com/docs/integrations/tools/reddit_search/", "Xata": "https://python.langchain.com/docs/integrations/memory/xata_chat_message_history/", "Llama2Chat": "https://python.langchain.com/docs/integrations/chat/llama2_chat/", "SAP HANA Cloud Vector Engine": "https://python.langchain.com/docs/integrations/vectorstores/sap_hanavector/", "Bittensor": "https://python.langchain.com/docs/integrations/llms/bittensor/"}, "InMemoryChatMessageHistory": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/conversation_chain/", "How to trim messages": "https://python.langchain.com/docs/how_to/trim_messages/", "How to migrate from legacy LangChain agents to LangGraph": "https://python.langchain.com/docs/how_to/migrate_agent/", "ChatNVIDIA": "https://python.langchain.com/docs/integrations/chat/nvidia_ai_endpoints/", "Build a Chatbot": "https://python.langchain.com/docs/tutorials/chatbot/"}, "RunnableWithMessageHistory": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/conversation_chain/", "Build an Agent with AgentExecutor (Legacy)": "https://python.langchain.com/docs/how_to/agent_executor/", "How to trim messages": "https://python.langchain.com/docs/how_to/trim_messages/", "How to add tools to chatbots": "https://python.langchain.com/docs/how_to/chatbots_tools/", "How to add chat history": "https://python.langchain.com/docs/how_to/qa_chat_history_how_to/", "How to add message history": "https://python.langchain.com/docs/how_to/message_history/", "How to add memory to chatbots": "https://python.langchain.com/docs/how_to/chatbots_memory/", "How to migrate from legacy LangChain agents to LangGraph": "https://python.langchain.com/docs/how_to/migrate_agent/", "Redis": "https://python.langchain.com/docs/integrations/memory/redis_chat_message_history/", "Google SQL for MySQL": "https://python.langchain.com/docs/integrations/memory/google_sql_mysql/", "Google AlloyDB for PostgreSQL": "https://python.langchain.com/docs/integrations/memory/google_alloydb/", "ZepCloudChatMessageHistory": "https://python.langchain.com/docs/integrations/memory/zep_cloud_chat_message_history/", "AWS DynamoDB": "https://python.langchain.com/docs/integrations/memory/aws_dynamodb/", "Couchbase": "https://python.langchain.com/docs/integrations/memory/couchbase_chat_message_history/", "MongoDB": "https://python.langchain.com/docs/integrations/memory/mongodb_chat_message_history/", "SQL (SQLAlchemy)": "https://python.langchain.com/docs/integrations/memory/sql_chat_message_history/", "Streamlit": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history/", "Google El Carro Oracle": "https://python.langchain.com/docs/integrations/memory/google_el_carro/", "SQLite": "https://python.langchain.com/docs/integrations/memory/sqlite/", "Google SQL for PostgreSQL": "https://python.langchain.com/docs/integrations/memory/google_sql_pg/", "Google SQL for SQL Server": "https://python.langchain.com/docs/integrations/memory/google_sql_mssql/", "TiDB": "https://python.langchain.com/docs/integrations/memory/tidb_chat_message_history/", "ChatNVIDIA": "https://python.langchain.com/docs/integrations/chat/nvidia_ai_endpoints/", "Build a Chatbot": "https://python.langchain.com/docs/tutorials/chatbot/", "Conversational RAG": "https://python.langchain.com/docs/tutorials/qa_chat_history/"}, "BaseChatMessageHistory": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/conversation_chain/", "Build an Agent with AgentExecutor (Legacy)": "https://python.langchain.com/docs/how_to/agent_executor/", "How to add chat history": "https://python.langchain.com/docs/how_to/qa_chat_history_how_to/", "Build a Chatbot": "https://python.langchain.com/docs/tutorials/chatbot/", "Conversational RAG": "https://python.langchain.com/docs/tutorials/qa_chat_history/"}, "ConstitutionalChain": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/constitutional_chain/"}, "ConstitutionalPrinciple": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/constitutional_chain/"}, "OpenAI": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/constitutional_chain/", "# Example": "https://python.langchain.com/docs/versions/migrating_chains/map_rerank_docs_chain/", "How to use output parsers to parse an LLM response into structured format": "https://python.langchain.com/docs/how_to/output_parser_structured/", "How to reorder retrieved results to mitigate the \"lost in the middle\" effect": "https://python.langchain.com/docs/how_to/long_context_reorder/", "How to add fallbacks to a runnable": "https://python.langchain.com/docs/how_to/fallbacks/", "How to do retrieval with contextual compression": "https://python.langchain.com/docs/how_to/contextual_compression/", "How to retry when a parsing error occurs": "https://python.langchain.com/docs/how_to/output_parser_retry/", "How to stream responses from an LLM": "https://python.langchain.com/docs/how_to/streaming_llm/", "How to cache LLM responses": "https://python.langchain.com/docs/how_to/llm_caching/", "How to track token usage for LLMs": "https://python.langchain.com/docs/how_to/llm_token_usage_tracking/", "Model caches": "https://python.langchain.com/docs/integrations/llm_caching/", "Milvus": "https://python.langchain.com/docs/integrations/retrievers/self_query/milvus_self_query/", "PGVector (Postgres)": "https://python.langchain.com/docs/integrations/retrievers/self_query/pgvector_self_query/", "Weaviate": "https://python.langchain.com/docs/integrations/vectorstores/weaviate/", "Databricks Vector Search": "https://python.langchain.com/docs/integrations/retrievers/self_query/databricks_vector_search/", "DingoDB": "https://python.langchain.com/docs/integrations/retrievers/self_query/dingo/", "OpenSearch": "https://python.langchain.com/docs/integrations/retrievers/self_query/opensearch_self_query/", "Elasticsearch": "https://python.langchain.com/docs/integrations/retrievers/self_query/elasticsearch_self_query/", "Chroma": "https://python.langchain.com/docs/integrations/retrievers/self_query/chroma_self_query/", "Timescale Vector (Postgres) ": "https://python.langchain.com/docs/integrations/retrievers/self_query/timescalevector_self_query/", "Astra DB (Cassandra)": "https://python.langchain.com/docs/integrations/retrievers/self_query/astradb/", "Pinecone": "https://python.langchain.com/docs/integrations/retrievers/self_query/pinecone/", "Supabase (Postgres)": "https://python.langchain.com/docs/integrations/retrievers/self_query/supabase_self_query/", "Redis": "https://python.langchain.com/docs/integrations/retrievers/self_query/redis_self_query/", "Deep Lake": "https://python.langchain.com/docs/integrations/retrievers/self_query/activeloop_deeplake_self_query/", "MongoDB Atlas": "https://python.langchain.com/docs/integrations/retrievers/self_query/mongodb_atlas/", "Qdrant": "https://python.langchain.com/docs/integrations/retrievers/self_query/qdrant_self_query/", "OpenAI": "https://python.langchain.com/docs/integrations/llms/openai/", "Jira Toolkit": "https://python.langchain.com/docs/integrations/tools/jira/", "Google Jobs": "https://python.langchain.com/docs/integrations/tools/google_jobs/", "Google Serper": "https://python.langchain.com/docs/integrations/tools/google_serper/", "Azure Cognitive Services Toolkit": "https://python.langchain.com/docs/integrations/tools/azure_cognitive_services/", "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools/", "Natural Language API Toolkits": "https://python.langchain.com/docs/integrations/tools/openapi_nla/", "Steam Toolkit": "https://python.langchain.com/docs/integrations/tools/steam/", "JSON Toolkit": "https://python.langchain.com/docs/integrations/tools/json/", "Google Finance": "https://python.langchain.com/docs/integrations/tools/google_finance/", "ClickUp Toolkit": "https://python.langchain.com/docs/integrations/tools/clickup/", "AWS Lambda": "https://python.langchain.com/docs/integrations/tools/awslambda/", "Google Drive": "https://python.langchain.com/docs/integrations/tools/google_drive/", "OpenWeatherMap": "https://python.langchain.com/docs/integrations/tools/openweathermap/", "Eleven Labs Text2Speech": "https://python.langchain.com/docs/integrations/tools/eleven_labs_tts/", "Office365 Toolkit": "https://python.langchain.com/docs/integrations/tools/office365/", "Pandas Dataframe": "https://python.langchain.com/docs/integrations/tools/pandas/", "Zapier Natural Language Actions": "https://python.langchain.com/docs/integrations/tools/zapier/", "Lemon Agent": "https://python.langchain.com/docs/integrations/tools/lemonai/", "NASA Toolkit": "https://python.langchain.com/docs/integrations/tools/nasa/", "GraphQL": "https://python.langchain.com/docs/integrations/tools/graphql/", "SearchApi": "https://python.langchain.com/docs/integrations/providers/searchapi/", "Gradio": "https://python.langchain.com/docs/integrations/tools/gradio_tools/", "SceneXplain": "https://python.langchain.com/docs/integrations/tools/sceneXplain/", "Azure AI Services Toolkit": "https://python.langchain.com/docs/integrations/tools/azure_ai_services/", "OpenAPI Toolkit": "https://python.langchain.com/docs/integrations/tools/openapi/", "Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator/", "Gitlab Toolkit": "https://python.langchain.com/docs/integrations/tools/gitlab/", "Ionic Shopping Tool": "https://python.langchain.com/docs/integrations/tools/ionic_shopping/", "Zep Open Source Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory/", "Mot\u00f6rhead": "https://python.langchain.com/docs/integrations/memory/motorhead_memory/", "Zep Cloud Memory": "https://python.langchain.com/docs/integrations/memory/zep_memory_cloud/", "Confident": "https://python.langchain.com/docs/integrations/callbacks/confident/", "LLMonitor": "https://python.langchain.com/docs/integrations/callbacks/llmonitor/", "Fiddler": "https://python.langchain.com/docs/integrations/callbacks/fiddler/", "SageMaker Tracking": "https://python.langchain.com/docs/integrations/callbacks/sagemaker_tracking/", "Label Studio": "https://python.langchain.com/docs/integrations/callbacks/labelstudio/", "Comet Tracing": "https://python.langchain.com/docs/integrations/callbacks/comet_tracing/", "Argilla": "https://python.langchain.com/docs/integrations/callbacks/argilla/", "PromptLayer": "https://python.langchain.com/docs/integrations/callbacks/promptlayer/", "Streamlit": "https://python.langchain.com/docs/integrations/callbacks/streamlit/", "Trubrics": "https://python.langchain.com/docs/integrations/callbacks/trubrics/", "Infino": "https://python.langchain.com/docs/integrations/callbacks/infino/", "DSPy": "https://python.langchain.com/docs/integrations/providers/dspy/", "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/", "Log10": "https://python.langchain.com/docs/integrations/providers/log10/", "LangChain Decorators \u2728": "https://python.langchain.com/docs/integrations/providers/langchain_decorators/", "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff/", "Serper - Google Search API": "https://python.langchain.com/docs/integrations/providers/google_serper/", "Helicone": "https://python.langchain.com/docs/integrations/providers/helicone/", "Shale Protocol": "https://python.langchain.com/docs/integrations/providers/shaleprotocol/", "WhyLabs": "https://python.langchain.com/docs/integrations/providers/whylabs_profiling/", "WandB Tracing": "https://python.langchain.com/docs/integrations/providers/wandb_tracing/", "ClearML": "https://python.langchain.com/docs/integrations/providers/clearml_tracking/", "Ray Serve": "https://python.langchain.com/docs/integrations/providers/ray_serve/", "Identity-enabled RAG using PebbloRetrievalQA": "https://python.langchain.com/docs/integrations/providers/pebblo/pebblo_retrieval_qa/", "Apache Doris": "https://python.langchain.com/docs/integrations/vectorstores/apache_doris/", "Jaguar Vector Database": "https://python.langchain.com/docs/integrations/vectorstores/jaguar/", "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks/", "Marqo": "https://python.langchain.com/docs/integrations/vectorstores/marqo/", "Timescale Vector (Postgres)": "https://python.langchain.com/docs/integrations/vectorstores/timescalevector/", "Amazon Document DB": "https://python.langchain.com/docs/integrations/vectorstores/documentdb/", "VoyageAI Reranker": "https://python.langchain.com/docs/integrations/document_transformers/voyageai-reranker/", "Apify Dataset": "https://python.langchain.com/docs/integrations/document_loaders/apify_dataset/", "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic/", "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami/", "Amazon Textract ": "https://python.langchain.com/docs/integrations/document_loaders/amazon_textract/", "NetworkX": "https://python.langchain.com/docs/integrations/graphs/networkx/", "OpaquePrompts": "https://python.langchain.com/docs/integrations/llms/opaqueprompts/", "Layerup Security": "https://python.langchain.com/docs/integrations/llms/layerup_security/", "Generate Synthetic Data": "https://python.langchain.com/docs/tutorials/data_generation/"}, "CRITIQUE_PROMPT": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/constitutional_chain/"}, "REVISION_PROMPT": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/constitutional_chain/"}, "WebBaseLoader": {"Load docs": "https://python.langchain.com/docs/versions/migrating_chains/retrieval_qa/", "# Basic example (short documents)": "https://python.langchain.com/docs/versions/migrating_chains/map_reduce_chain/", "Build 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"https://python.langchain.com/docs/integrations/vectorstores/zep_cloud/", "Zep": "https://python.langchain.com/docs/integrations/vectorstores/zep/", "Google Cloud Vertex AI Reranker": "https://python.langchain.com/docs/integrations/document_transformers/google_cloud_vertexai_rerank/", "Merge Documents Loader": "https://python.langchain.com/docs/integrations/document_loaders/merge_doc/", "WebBaseLoader": "https://python.langchain.com/docs/integrations/document_loaders/web_base/", "Build a Retrieval Augmented Generation (RAG) App": "https://python.langchain.com/docs/tutorials/rag/", "Build a Local RAG Application": "https://python.langchain.com/docs/tutorials/local_rag/", "Summarize Text": "https://python.langchain.com/docs/tutorials/summarization/", "Conversational RAG": "https://python.langchain.com/docs/tutorials/qa_chat_history/"}, "FAISS": {"Load docs": "https://python.langchain.com/docs/versions/migrating_chains/retrieval_qa/", "Build an Agent with AgentExecutor (Legacy)": "https://python.langchain.com/docs/how_to/agent_executor/", "How to handle long text when doing extraction": "https://python.langchain.com/docs/how_to/extraction_long_text/", "How to load PDFs": "https://python.langchain.com/docs/how_to/document_loader_pdf/", "How to better prompt when doing SQL question-answering": "https://python.langchain.com/docs/how_to/sql_prompting/", "How to add values to a chain's state": "https://python.langchain.com/docs/how_to/assign/", "How to inspect runnables": "https://python.langchain.com/docs/how_to/inspect/", "How to deal with large databases when doing SQL question-answering": "https://python.langchain.com/docs/how_to/sql_large_db/", "How to stream runnables": "https://python.langchain.com/docs/how_to/streaming/", "How to invoke runnables in parallel": "https://python.langchain.com/docs/how_to/parallel/", "How to pass through arguments from one step to the next": "https://python.langchain.com/docs/how_to/passthrough/", "How to do retrieval with 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"https://python.langchain.com/docs/tutorials/summarization/", "Build a Query Analysis System": "https://python.langchain.com/docs/tutorials/query_analysis/", "Vector stores and retrievers": "https://python.langchain.com/docs/tutorials/retrievers/"}, "LLMChain": {"# Example": "https://python.langchain.com/docs/versions/migrating_chains/map_rerank_docs_chain/", "# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/llm_chain/", "# Basic example (short documents)": "https://python.langchain.com/docs/versions/migrating_chains/map_reduce_chain/", "Clarifai": "https://python.langchain.com/docs/integrations/llms/clarifai/", "RePhraseQuery": "https://python.langchain.com/docs/integrations/retrievers/re_phrase/", "Memorize": "https://python.langchain.com/docs/integrations/tools/memorize/", "Zapier Natural Language Actions": "https://python.langchain.com/docs/integrations/tools/zapier/", "Reddit Search ": "https://python.langchain.com/docs/integrations/tools/reddit_search/", "Dall-E Image Generator": "https://python.langchain.com/docs/integrations/tools/dalle_image_generator/", "Mot\u00f6rhead": "https://python.langchain.com/docs/integrations/memory/motorhead_memory/", "Llama2Chat": "https://python.langchain.com/docs/integrations/chat/llama2_chat/", "Context": "https://python.langchain.com/docs/integrations/callbacks/context/", "SageMaker Tracking": "https://python.langchain.com/docs/integrations/callbacks/sagemaker_tracking/", "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/", "MLflow Deployments for LLMs": "https://python.langchain.com/docs/integrations/providers/mlflow/", "MLflow AI Gateway": "https://python.langchain.com/docs/integrations/providers/mlflow_ai_gateway/", "Rebuff": "https://python.langchain.com/docs/integrations/providers/rebuff/", "Prediction Guard": "https://python.langchain.com/docs/integrations/llms/predictionguard/", "Flyte": "https://python.langchain.com/docs/integrations/providers/flyte/", "Ray Serve": "https://python.langchain.com/docs/integrations/providers/ray_serve/", "Javelin AI Gateway": "https://python.langchain.com/docs/integrations/providers/javelin_ai_gateway/", "Yellowbrick": "https://python.langchain.com/docs/integrations/vectorstores/yellowbrick/", "Google Cloud Vertex AI Reranker": "https://python.langchain.com/docs/integrations/document_transformers/google_cloud_vertexai_rerank/", "Baseten": "https://python.langchain.com/docs/integrations/llms/baseten/", "StochasticAI": "https://python.langchain.com/docs/integrations/llms/stochasticai/", "Solar": "https://python.langchain.com/docs/integrations/llms/solar/", "Bittensor": "https://python.langchain.com/docs/integrations/llms/bittensor/", "IPEX-LLM": "https://python.langchain.com/docs/integrations/llms/ipex_llm/", "Banana": "https://python.langchain.com/docs/integrations/llms/banana/", "Alibaba Cloud PAI EAS": "https://python.langchain.com/docs/integrations/llms/alibabacloud_pai_eas_endpoint/", "OpenLLM": "https://python.langchain.com/docs/integrations/llms/openllm/", "OctoAI": "https://python.langchain.com/docs/integrations/llms/octoai/", "Writer": "https://python.langchain.com/docs/integrations/llms/writer/", "Modal": "https://python.langchain.com/docs/integrations/llms/modal/", "TextGen": "https://python.langchain.com/docs/integrations/llms/textgen/", "Xorbits Inference (Xinference)": "https://python.langchain.com/docs/integrations/llms/xinference/", "Nebula (Symbl.ai)": "https://python.langchain.com/docs/integrations/llms/symblai_nebula/", "DeepInfra": "https://python.langchain.com/docs/integrations/llms/deepinfra/", "NLP Cloud": "https://python.langchain.com/docs/integrations/llms/nlpcloud/", "ForefrontAI": "https://python.langchain.com/docs/integrations/llms/forefrontai/", "MosaicML": "https://python.langchain.com/docs/integrations/llms/mosaicml/", "CerebriumAI": "https://python.langchain.com/docs/integrations/llms/cerebriumai/", "Predibase": "https://python.langchain.com/docs/integrations/llms/predibase/", "GigaChat": "https://python.langchain.com/docs/integrations/llms/gigachat/", "OpaquePrompts": "https://python.langchain.com/docs/integrations/llms/opaqueprompts/", "Aphrodite Engine": "https://python.langchain.com/docs/integrations/llms/aphrodite/", "Eden AI": "https://python.langchain.com/docs/integrations/llms/edenai/", "Javelin AI Gateway Tutorial": "https://python.langchain.com/docs/integrations/llms/javelin/", "C Transformers": "https://python.langchain.com/docs/integrations/llms/ctransformers/", "vLLM": "https://python.langchain.com/docs/integrations/llms/vllm/", "Azure ML": "https://python.langchain.com/docs/integrations/llms/azure_ml/", "Minimax": "https://python.langchain.com/docs/integrations/llms/minimax/", "Yuan2.0": "https://python.langchain.com/docs/integrations/llms/yuan2/", "Huggingface Endpoints": "https://python.langchain.com/docs/integrations/llms/huggingface_endpoint/", "Runhouse": "https://python.langchain.com/docs/integrations/llms/runhouse/", "Anyscale": "https://python.langchain.com/docs/integrations/llms/anyscale/", "YandexGPT": "https://python.langchain.com/docs/integrations/llms/yandex/", "GooseAI": "https://python.langchain.com/docs/integrations/llms/gooseai/", "OpenLM": "https://python.langchain.com/docs/integrations/llms/openlm/", "Cloudflare Workers AI": "https://python.langchain.com/docs/integrations/llms/cloudflare_workersai/", "CTranslate2": "https://python.langchain.com/docs/integrations/llms/ctranslate2/", "ChatGLM": "https://python.langchain.com/docs/integrations/llms/chatglm/", "Gradient": "https://python.langchain.com/docs/integrations/llms/gradient/", "Petals": "https://python.langchain.com/docs/integrations/llms/petals/", "Replicate": "https://python.langchain.com/docs/integrations/llms/replicate/", "Summarize Text": "https://python.langchain.com/docs/tutorials/summarization/"}, "StuffDocumentsChain": {"# Example": "https://python.langchain.com/docs/versions/migrating_chains/stuff_docs_chain/", "# Basic example (short documents)": "https://python.langchain.com/docs/versions/migrating_chains/map_reduce_chain/"}, "create_stuff_documents_chain": {"# Example": "https://python.langchain.com/docs/versions/migrating_chains/stuff_docs_chain/", "Load docs": "https://python.langchain.com/docs/versions/migrating_chains/retrieval_qa/", "How to reorder retrieved results to mitigate the \"lost in the middle\" effect": "https://python.langchain.com/docs/how_to/long_context_reorder/", "How to stream results from your RAG application": "https://python.langchain.com/docs/how_to/qa_streaming/", "How to get your RAG application to return sources": "https://python.langchain.com/docs/how_to/qa_sources/", "How to add chat history": "https://python.langchain.com/docs/how_to/qa_chat_history_how_to/", "How to add retrieval to chatbots": "https://python.langchain.com/docs/how_to/chatbots_retrieval/", "How to summarize text in a single LLM call": "https://python.langchain.com/docs/how_to/summarize_stuff/", "RAGatouille": "https://python.langchain.com/docs/integrations/retrievers/ragatouille/", "ApertureDB": "https://python.langchain.com/docs/integrations/vectorstores/aperturedb/", "Jina Reranker": "https://python.langchain.com/docs/integrations/document_transformers/jina_rerank/", "Image captions": "https://python.langchain.com/docs/integrations/document_loaders/image_captions/", "Build a Retrieval Augmented Generation (RAG) App": "https://python.langchain.com/docs/tutorials/rag/", "Summarize Text": "https://python.langchain.com/docs/tutorials/summarization/", "Conversational RAG": "https://python.langchain.com/docs/tutorials/qa_chat_history/", "Build a PDF ingestion and Question/Answering system": "https://python.langchain.com/docs/tutorials/pdf_qa/"}, "LLMMathChain": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/llm_math_chain/"}, "BaseMessage": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/llm_math_chain/", "How to trim messages": "https://python.langchain.com/docs/how_to/trim_messages/", "How to use reference examples when doing extraction": "https://python.langchain.com/docs/how_to/extraction_examples/", "How to propagate callbacks  constructor": "https://python.langchain.com/docs/how_to/callbacks_constructor/", "How to attach callbacks to a runnable": "https://python.langchain.com/docs/how_to/callbacks_attach/", "How to create a custom chat model class": "https://python.langchain.com/docs/how_to/custom_chat_model/", "How to pass callbacks in at runtime": "https://python.langchain.com/docs/how_to/callbacks_runtime/", "How to add examples to the prompt for query analysis": "https://python.langchain.com/docs/how_to/query_few_shot/", "WeChat": "https://python.langchain.com/docs/integrations/chat_loaders/wechat/", "Discord": "https://python.langchain.com/docs/integrations/chat_loaders/discord/", "Chat Bot Feedback Template": "https://python.langchain.com/docs/templates/chat-bot-feedback/"}, "RunnableConfig": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/multi_prompt_chain/", "# Example": "https://python.langchain.com/docs/versions/migrating_chains/refine_docs_chain/", "How to access the RunnableConfig from a tool": "https://python.langchain.com/docs/how_to/tool_configure/", "How to summarize text through iterative refinement": "https://python.langchain.com/docs/how_to/summarize_refine/", "How to handle tool errors": "https://python.langchain.com/docs/how_to/tools_error/", "How to stream events from a tool": "https://python.langchain.com/docs/how_to/tool_stream_events/", "How to run custom functions": "https://python.langchain.com/docs/how_to/functions/", "How to add ad-hoc tool calling capability to LLMs and Chat Models": "https://python.langchain.com/docs/how_to/tools_prompting/", "LangChain Expression Language Cheatsheet": "https://python.langchain.com/docs/how_to/lcel_cheatsheet/", "How to dispatch custom callback events": "https://python.langchain.com/docs/how_to/callbacks_custom_events/", "How to pass runtime secrets to runnables": "https://python.langchain.com/docs/how_to/runnable_runtime_secrets/", "Tavily Search": "https://python.langchain.com/docs/integrations/tools/tavily_search/"}, "tool": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/llm_math_chain/", "How to disable parallel tool calling": "https://python.langchain.com/docs/how_to/tool_calling_parallel/", "How to use tools in a chain": 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"https://python.langchain.com/docs/how_to/streaming/", "How to pass tool outputs to chat models": "https://python.langchain.com/docs/how_to/tool_results_pass_to_model/", "How to add ad-hoc tool calling capability to LLMs and Chat Models": "https://python.langchain.com/docs/how_to/tools_prompting/", "How to return artifacts from a tool": "https://python.langchain.com/docs/how_to/tool_artifacts/", "How to migrate from legacy LangChain agents to LangGraph": "https://python.langchain.com/docs/how_to/migrate_agent/", "How to stream tool calls": "https://python.langchain.com/docs/how_to/tool_streaming/", "How to pass runtime secrets to runnables": "https://python.langchain.com/docs/how_to/runnable_runtime_secrets/", "How to use few-shot prompting with tool calling": "https://python.langchain.com/docs/how_to/tools_few_shot/", "FinancialDatasets Toolkit": "https://python.langchain.com/docs/integrations/tools/financial_datasets/", "Exa Search": "https://python.langchain.com/docs/integrations/tools/exa_search/", "DeepInfra": "https://python.langchain.com/docs/integrations/chat/deepinfra/", "ChatOllama": "https://python.langchain.com/docs/integrations/chat/ollama/", "Llama.cpp": "https://python.langchain.com/docs/integrations/chat/llamacpp/", "Cohere": "https://python.langchain.com/docs/integrations/providers/cohere/", "Eden AI": "https://python.langchain.com/docs/integrations/chat/edenai/", "ChatTongyi": "https://python.langchain.com/docs/integrations/chat/tongyi/", "ChatPremAI": "https://python.langchain.com/docs/integrations/chat/premai/", "ChatNVIDIA": "https://python.langchain.com/docs/integrations/chat/nvidia_ai_endpoints/", "LLMonitor": "https://python.langchain.com/docs/integrations/callbacks/llmonitor/", "PremAI": "https://python.langchain.com/docs/integrations/providers/premai/", "Log, Trace, and Monitor": "https://python.langchain.com/docs/integrations/providers/portkey/logging_tracing_portkey/", "Portkey": "https://python.langchain.com/docs/integrations/providers/portkey/index/", "JSONFormer": "https://python.langchain.com/docs/integrations/llms/jsonformer_experimental/"}, "MultiPromptChain": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/multi_prompt_chain/"}, "ConversationChain": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/conversation_chain/"}, "ConversationBufferMemory": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/conversation_chain/", "Memorize": "https://python.langchain.com/docs/integrations/tools/memorize/", "Gradio": "https://python.langchain.com/docs/integrations/tools/gradio_tools/", "SceneXplain": "https://python.langchain.com/docs/integrations/tools/sceneXplain/", "Reddit Search ": "https://python.langchain.com/docs/integrations/tools/reddit_search/", "Xata": "https://python.langchain.com/docs/integrations/memory/xata_chat_message_history/", "Llama2Chat": "https://python.langchain.com/docs/integrations/chat/llama2_chat/", "SAP HANA Cloud Vector Engine": "https://python.langchain.com/docs/integrations/vectorstores/sap_hanavector/", "Bittensor": "https://python.langchain.com/docs/integrations/llms/bittensor/"}, "InMemoryChatMessageHistory": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/conversation_chain/", "How to trim messages": "https://python.langchain.com/docs/how_to/trim_messages/", "How to migrate from legacy LangChain agents to LangGraph": "https://python.langchain.com/docs/how_to/migrate_agent/", "ChatNVIDIA": "https://python.langchain.com/docs/integrations/chat/nvidia_ai_endpoints/", "Build a Chatbot": "https://python.langchain.com/docs/tutorials/chatbot/"}, "RunnableWithMessageHistory": {"# Legacy": "https://python.langchain.com/docs/versions/migrating_chains/conversation_chain/", "Build an Agent with AgentExecutor (Legacy)": "https://python.langchain.com/docs/how_to/agent_executor/", "How to trim 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"https://python.langchain.com/docs/integrations/memory/aws_dynamodb/", "Couchbase": "https://python.langchain.com/docs/integrations/memory/couchbase_chat_message_history/", "MongoDB": "https://python.langchain.com/docs/integrations/memory/mongodb_chat_message_history/", "SQL (SQLAlchemy)": "https://python.langchain.com/docs/integrations/memory/sql_chat_message_history/", "Streamlit": "https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history/", "Google El Carro Oracle": "https://python.langchain.com/docs/integrations/memory/google_el_carro/", "SQLite": "https://python.langchain.com/docs/integrations/memory/sqlite/", "Google SQL for PostgreSQL": "https://python.langchain.com/docs/integrations/memory/google_sql_pg/", "Google SQL for SQL Server": "https://python.langchain.com/docs/integrations/memory/google_sql_mssql/", "TiDB": "https://python.langchain.com/docs/integrations/memory/tidb_chat_message_history/", "ChatNVIDIA": 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Vector Search: Vector Store": "https://python.langchain.com/docs/integrations/vectorstores/oracle/"}, "VLite": {"vlite": "https://python.langchain.com/docs/integrations/vectorstores/vlite/"}, "AzureCosmosDBNoSqlVectorSearch": {"Azure Cosmos DB No SQL": "https://python.langchain.com/docs/integrations/vectorstores/azure_cosmos_db_no_sql/"}, "DuckDB": {"DuckDB": "https://python.langchain.com/docs/integrations/vectorstores/duckdb/"}, "StarRocksSettings": {"StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks/"}, "PathwayVectorClient": {"Pathway": "https://python.langchain.com/docs/integrations/vectorstores/pathway/"}, "DocArrayHnswSearch": {"DocArray HnswSearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_hnsw/"}, "TileDB": {"TileDB": "https://python.langchain.com/docs/integrations/vectorstores/tiledb/"}, "EcloudESVectorStore": {"China Mobile ECloud ElasticSearch VectorSearch": "https://python.langchain.com/docs/integrations/vectorstores/ecloud_vector_search/"}, "SurrealDBStore": {"SurrealDB": "https://python.langchain.com/docs/integrations/vectorstores/surrealdb/"}, "ManticoreSearch": {"ManticoreSearch VectorStore": "https://python.langchain.com/docs/integrations/vectorstores/manticore_search/"}, "ManticoreSearchSettings": {"ManticoreSearch VectorStore": "https://python.langchain.com/docs/integrations/vectorstores/manticore_search/"}, "HuggingFaceEmbeddings": {"Aerospike": "https://python.langchain.com/docs/integrations/vectorstores/aerospike/", "self-query-qdrant": "https://python.langchain.com/docs/templates/self-query-qdrant/"}, "Aerospike": {"Aerospike": "https://python.langchain.com/docs/integrations/vectorstores/aerospike/"}, "ElasticVectorSearch": {"Elasticsearch": "https://python.langchain.com/docs/integrations/vectorstores/elasticsearch/"}, "PGVecto_rs": {"PGVecto.rs": "https://python.langchain.com/docs/integrations/vectorstores/pgvecto_rs/"}, "ZepVectorStore": {"Zep": "https://python.langchain.com/docs/integrations/vectorstores/zep/"}, "CollectionConfig": {"Zep": "https://python.langchain.com/docs/integrations/vectorstores/zep/"}, "openai": {"OpenAI Adapter(Old)": "https://python.langchain.com/docs/integrations/adapters/openai-old/", "OpenAI Adapter": "https://python.langchain.com/docs/integrations/adapters/openai/"}, "RankLLMRerank": {"RankLLM Reranker": "https://python.langchain.com/docs/integrations/document_transformers/rankllm-reranker/"}, "AsyncChromiumLoader": {"Beautiful Soup": "https://python.langchain.com/docs/integrations/document_transformers/beautiful_soup/", "Async Chromium": "https://python.langchain.com/docs/integrations/document_loaders/async_chromium/"}, "BeautifulSoupTransformer": {"Beautiful Soup": "https://python.langchain.com/docs/integrations/document_transformers/beautiful_soup/"}, "VolcengineRerank": {"Volcengine Reranker": "https://python.langchain.com/docs/integrations/document_transformers/volcengine_rerank/"}, "OpenVINOReranker": {"OpenVINO Reranker": "https://python.langchain.com/docs/integrations/document_transformers/openvino_rerank/"}, "create_metadata_tagger": {"OpenAI metadata tagger": "https://python.langchain.com/docs/integrations/document_transformers/openai_metadata_tagger/"}, "DoctranPropertyExtractor": {"Doctran: extract properties": "https://python.langchain.com/docs/integrations/document_transformers/doctran_extract_properties/"}, "DoctranQATransformer": {"Doctran: interrogate documents": "https://python.langchain.com/docs/integrations/document_transformers/doctran_interrogate_document/"}, "CrossEncoderReranker": {"Cross Encoder Reranker": "https://python.langchain.com/docs/integrations/document_transformers/cross_encoder_reranker/"}, "HuggingFaceCrossEncoder": {"Cross Encoder Reranker": "https://python.langchain.com/docs/integrations/document_transformers/cross_encoder_reranker/"}, "JinaRerank": {"Jina Reranker": "https://python.langchain.com/docs/integrations/document_transformers/jina_rerank/"}, "DoctranTextTranslator": {"Doctran: language translation": "https://python.langchain.com/docs/integrations/document_transformers/doctran_translate_document/"}, "MarkdownifyTransformer": {"Markdownify": "https://python.langchain.com/docs/integrations/document_transformers/markdownify/"}, "DashScopeRerank": {"DashScope Reranker": "https://python.langchain.com/docs/integrations/document_transformers/dashscope_rerank/"}, "XorbitsLoader": {"Xorbits Pandas DataFrame": "https://python.langchain.com/docs/integrations/document_loaders/xorbits/"}, "OutlookMessageLoader": {"Email": "https://python.langchain.com/docs/integrations/document_loaders/email/"}, "TranscriptFormat": {"AssemblyAI Audio Transcripts": "https://python.langchain.com/docs/integrations/document_loaders/assemblyai/", "YouTube transcripts": "https://python.langchain.com/docs/integrations/document_loaders/youtube_transcript/"}, "ScrapingAntLoader": {"ScrapingAnt": "https://python.langchain.com/docs/integrations/document_loaders/scrapingant/"}, "AirbyteSalesforceLoader": {"Airbyte Salesforce (Deprecated)": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_salesforce/"}, "AirbyteCDKLoader": {"Airbyte CDK (Deprecated)": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_cdk/"}, "Docx2txtLoader": {"Microsoft Word": "https://python.langchain.com/docs/integrations/document_loaders/microsoft_word/"}, "RSpaceLoader": {"# replace these ids with some from your own research notes.": "https://python.langchain.com/docs/integrations/document_loaders/rspace/"}, "SeleniumURLLoader": {"URL": "https://python.langchain.com/docs/integrations/document_loaders/url/"}, "PlaywrightURLLoader": {"URL": "https://python.langchain.com/docs/integrations/document_loaders/url/"}, "AirbyteJSONLoader": {"Airbyte JSON (Deprecated)": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_json/"}, "AirbyteStripeLoader": {"Airbyte Stripe (Deprecated)": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_stripe/"}, "GeoDataFrameLoader": {"Geopandas": "https://python.langchain.com/docs/integrations/document_loaders/geopandas/"}, "VectorstoreIndexCreator": {"HuggingFace dataset": "https://python.langchain.com/docs/integrations/document_loaders/hugging_face_dataset/", "Spreedly": "https://python.langchain.com/docs/integrations/document_loaders/spreedly/", "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/"}, "AirbyteTypeformLoader": {"Airbyte Typeform (Deprecated)": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_typeform/"}, "MHTMLLoader": {"mhtml": "https://python.langchain.com/docs/integrations/document_loaders/mhtml/"}, "SpiderLoader": {"Spider": "https://python.langchain.com/docs/integrations/document_loaders/spider/"}, "NewsURLLoader": {"News URL": "https://python.langchain.com/docs/integrations/document_loaders/news/"}, "ImageCaptionLoader": {"Image captions": "https://python.langchain.com/docs/integrations/document_loaders/image_captions/"}, "LLMSherpaFileLoader": {"LLM Sherpa": "https://python.langchain.com/docs/integrations/document_loaders/llmsherpa/"}, "PyMuPDFLoader": {"PyMuPDF": "https://python.langchain.com/docs/integrations/document_loaders/pymupdf/"}, "ScrapflyLoader": {"# ScrapFly": "https://python.langchain.com/docs/integrations/document_loaders/scrapfly/"}, "TomlLoader": {"TOML": "https://python.langchain.com/docs/integrations/document_loaders/toml/"}, "PsychicLoader": {"Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic/"}, "FireCrawlLoader": {"FireCrawl": "https://python.langchain.com/docs/integrations/document_loaders/firecrawl/"}, "LarkSuiteWikiLoader": {"LarkSuite (FeiShu)": "https://python.langchain.com/docs/integrations/document_loaders/larksuite/"}, "FakeListLLM": {"LarkSuite (FeiShu)": "https://python.langchain.com/docs/integrations/document_loaders/larksuite/"}, "MergedDataLoader": {"Merge Documents Loader": "https://python.langchain.com/docs/integrations/document_loaders/merge_doc/"}, "RecursiveUrlLoader": {"Recursive URL": "https://python.langchain.com/docs/integrations/document_loaders/recursive_url/"}, "PDFPlumberLoader": {"PDFPlumber": "https://python.langchain.com/docs/integrations/document_loaders/pdfplumber/"}, "PyPDFium2Loader": {"PyPDFium2Loader": "https://python.langchain.com/docs/integrations/document_loaders/pypdfium2/"}, "AirbyteHubspotLoader": {"Airbyte Hubspot (Deprecated)": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_hubspot/"}, "AirbyteGongLoader": {"Airbyte Gong (Deprecated)": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_gong/"}, "AstraDBLoader": {"AstraDB": "https://python.langchain.com/docs/integrations/document_loaders/astradb/"}, "ReadTheDocsLoader": {"ReadTheDocs Documentation": "https://python.langchain.com/docs/integrations/document_loaders/readthedocs_documentation/"}, "MathpixPDFLoader": {"MathPixPDFLoader": "https://python.langchain.com/docs/integrations/document_loaders/mathpix/"}, "PolarsDataFrameLoader": {"Polars DataFrame": "https://python.langchain.com/docs/integrations/document_loaders/polars_dataframe/"}, "DataFrameLoader": {"Pandas DataFrame": "https://python.langchain.com/docs/integrations/document_loaders/pandas_dataframe/"}, "SurrealDBLoader": {"SurrealDB": "https://python.langchain.com/docs/integrations/document_loaders/surrealdb/"}, "DedocFileLoader": {"Dedoc": "https://python.langchain.com/docs/integrations/document_loaders/dedoc/"}, "DedocPDFLoader": {"Dedoc": "https://python.langchain.com/docs/integrations/document_loaders/dedoc/"}, "DedocAPIFileLoader": {"Dedoc": "https://python.langchain.com/docs/integrations/document_loaders/dedoc/"}, "GoogleApiClient": {"YouTube transcripts": "https://python.langchain.com/docs/integrations/document_loaders/youtube_transcript/"}, "ConcurrentLoader": {"Concurrent Loader": "https://python.langchain.com/docs/integrations/document_loaders/concurrent/"}, "RSSFeedLoader": {"RSS Feeds": "https://python.langchain.com/docs/integrations/document_loaders/rss/"}, "PebbloSafeLoader": {"Pebblo Safe DocumentLoader": "https://python.langchain.com/docs/integrations/document_loaders/pebblo/"}, "VsdxLoader": {"Vsdx": "https://python.langchain.com/docs/integrations/document_loaders/vsdx/"}, "NotebookLoader": {"Jupyter Notebook": "https://python.langchain.com/docs/integrations/document_loaders/jupyter_notebook/"}, "OracleAutonomousDatabaseLoader": {"Oracle Autonomous Database": "https://python.langchain.com/docs/integrations/document_loaders/oracleadb_loader/"}, "LanguageParser": {"Source Code": "https://python.langchain.com/docs/integrations/document_loaders/source_code/"}, "SRTLoader": {"Subtitle": "https://python.langchain.com/docs/integrations/document_loaders/subtitle/"}, "MastodonTootsLoader": {"Mastodon": "https://python.langchain.com/docs/integrations/document_loaders/mastodon/"}, "AirbyteShopifyLoader": {"Airbyte Shopify (Deprecated)": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_shopify/"}, "PyPDFDirectoryLoader": {"PyPDFDirectoryLoader": "https://python.langchain.com/docs/integrations/document_loaders/pypdfdirectory/"}, "PySparkDataFrameLoader": {"PySpark": "https://python.langchain.com/docs/integrations/document_loaders/pyspark_dataframe/"}, "AirbyteZendeskSupportLoader": {"Airbyte Zendesk Support (Deprecated)": "https://python.langchain.com/docs/integrations/document_loaders/airbyte_zendesk_support/"}, "CoNLLULoader": {"CoNLL-U": "https://python.langchain.com/docs/integrations/document_loaders/conll-u/"}, "MongodbLoader": {"MongoDB": "https://python.langchain.com/docs/integrations/document_loaders/mongodb/"}, "SitemapLoader": {"Sitemap": "https://python.langchain.com/docs/integrations/document_loaders/sitemap/"}, "YuqueLoader": {"Yuque": "https://python.langchain.com/docs/integrations/document_loaders/yuque/"}, "PDFMinerLoader": {"PDFMiner": "https://python.langchain.com/docs/integrations/document_loaders/pdfminer/"}, "PDFMinerPDFasHTMLLoader": {"PDFMiner": "https://python.langchain.com/docs/integrations/document_loaders/pdfminer/"}, "QuipLoader": {"Quip": "https://python.langchain.com/docs/integrations/document_loaders/quip/"}, "LangSmithLoader": {"LangSmithLoader": "https://python.langchain.com/docs/integrations/document_loaders/langsmith/"}, "MemgraphGraph": {"Memgraph": "https://python.langchain.com/docs/integrations/graphs/memgraph/"}, "GraphSparqlQAChain": {"RDFLib": "https://python.langchain.com/docs/integrations/graphs/rdflib_sparql/"}, "RdfGraph": {"RDFLib": "https://python.langchain.com/docs/integrations/graphs/rdflib_sparql/"}, "NebulaGraphQAChain": {"NebulaGraph": "https://python.langchain.com/docs/integrations/graphs/nebula_graph/"}, "NebulaGraph": {"NebulaGraph": "https://python.langchain.com/docs/integrations/graphs/nebula_graph/"}, "GremlinQAChain": {"Azure Cosmos DB for Apache Gremlin": "https://python.langchain.com/docs/integrations/graphs/azure_cosmosdb_gremlin/"}, "GraphIndexCreator": {"NetworkX": "https://python.langchain.com/docs/integrations/graphs/networkx/"}, "GraphQAChain": {"NetworkX": "https://python.langchain.com/docs/integrations/graphs/networkx/"}, "NetworkxEntityGraph": {"NetworkX": "https://python.langchain.com/docs/integrations/graphs/networkx/"}, "HugeGraphQAChain": {"HugeGraph": "https://python.langchain.com/docs/integrations/graphs/hugegraph/"}, "HugeGraph": {"HugeGraph": "https://python.langchain.com/docs/integrations/graphs/hugegraph/"}, "AGEGraph": {"Apache AGE": "https://python.langchain.com/docs/integrations/graphs/apache_age/"}, "KuzuQAChain": {"Kuzu": "https://python.langchain.com/docs/integrations/graphs/kuzu_db/"}, "KuzuGraph": {"Kuzu": "https://python.langchain.com/docs/integrations/graphs/kuzu_db/"}, "FalkorDBQAChain": {"FalkorDB": "https://python.langchain.com/docs/integrations/graphs/falkordb/"}, "FalkorDBGraph": {"FalkorDB": "https://python.langchain.com/docs/integrations/graphs/falkordb/"}, "ConversationBufferWindowMemory": {"Baseten": "https://python.langchain.com/docs/integrations/llms/baseten/", "OpaquePrompts": "https://python.langchain.com/docs/integrations/llms/opaqueprompts/"}, "Solar": {"Solar": "https://python.langchain.com/docs/integrations/llms/solar/"}, "GoogleSearchAPIWrapper": {"Bittensor": "https://python.langchain.com/docs/integrations/llms/bittensor/"}, "IpexLLM": {"IPEX-LLM": "https://python.langchain.com/docs/integrations/llms/ipex_llm/"}, "LLMContentHandler": {"SageMakerEndpoint": "https://python.langchain.com/docs/integrations/llms/sagemaker/"}, "TextGen": {"TextGen": "https://python.langchain.com/docs/integrations/llms/textgen/"}, "MosaicML": {"MosaicML": "https://python.langchain.com/docs/integrations/llms/mosaicml/"}, "VolcEngineMaasLLM": {"Volc Engine Maas": "https://python.langchain.com/docs/integrations/llms/volcengine_maas/"}, "KoboldApiLLM": {"KoboldAI API": "https://python.langchain.com/docs/integrations/llms/koboldai/"}, "Konko": {"Konko": "https://python.langchain.com/docs/integrations/llms/konko/"}, "OpaquePrompts": {"OpaquePrompts": "https://python.langchain.com/docs/integrations/llms/opaqueprompts/"}, "TitanTakeoff": {"Titan Takeoff": "https://python.langchain.com/docs/integrations/llms/titan_takeoff/"}, "Friendli": {"Friendli": "https://python.langchain.com/docs/integrations/llms/friendli/"}, "Databricks": {"Databricks": "https://python.langchain.com/docs/integrations/llms/databricks/"}, "LMFormatEnforcer": {"LM Format Enforcer": "https://python.langchain.com/docs/integrations/llms/lmformatenforcer_experimental/"}, "VLLM": {"vLLM": "https://python.langchain.com/docs/integrations/llms/vllm/"}, "VLLMOpenAI": {"vLLM": "https://python.langchain.com/docs/integrations/llms/vllm/"}, "CustomOpenAIContentFormatter": {"Azure ML": "https://python.langchain.com/docs/integrations/llms/azure_ml/"}, "ContentFormatterBase": {"Azure ML": "https://python.langchain.com/docs/integrations/llms/azure_ml/"}, "DollyContentFormatter": {"Azure ML": "https://python.langchain.com/docs/integrations/llms/azure_ml/"}, "load_llm": {"Azure ML": "https://python.langchain.com/docs/integrations/llms/azure_ml/"}, "MapReduceChain": {"Manifest": "https://python.langchain.com/docs/integrations/llms/manifest/"}, "ModelLaboratory": {"Manifest": "https://python.langchain.com/docs/integrations/llms/manifest/"}, "ExLlamaV2": {"ExLlamaV2": "https://python.langchain.com/docs/integrations/llms/exllamav2/"}, "RELLM": {"RELLM": "https://python.langchain.com/docs/integrations/llms/rellm_experimental/"}, "Moonshot": {"MoonshotChat": "https://python.langchain.com/docs/integrations/llms/moonshot/"}, "OpenLM": {"OpenLM": "https://python.langchain.com/docs/integrations/llms/openlm/"}, "CloudflareWorkersAI": {"Cloudflare Workers AI": "https://python.langchain.com/docs/integrations/llms/cloudflare_workersai/"}, "ChatGLM3": {"ChatGLM": "https://python.langchain.com/docs/integrations/llms/chatglm/"}, "ChatGLM": {"ChatGLM": "https://python.langchain.com/docs/integrations/llms/chatglm/"}, "Sambaverse": {"SambaNova": "https://python.langchain.com/docs/integrations/llms/sambanova/"}, "SambaStudio": {"SambaNova": "https://python.langchain.com/docs/integrations/llms/sambanova/"}, "LayerupSecurity": {"Layerup Security": "https://python.langchain.com/docs/integrations/llms/layerup_security/"}, "JsonFormer": {"JSONFormer": "https://python.langchain.com/docs/integrations/llms/jsonformer_experimental/"}, "WeightOnlyQuantPipeline": {"Intel Weight-Only Quantization": "https://python.langchain.com/docs/integrations/llms/weight_only_quantization/"}, "Replicate": {"Replicate": "https://python.langchain.com/docs/integrations/llms/replicate/"}, "tracing_v2_enabled": {"Chat Bot Feedback Template": "https://python.langchain.com/docs/templates/chat-bot-feedback/"}, "QuerySQLDataBaseTool": {"Build a Question/Answering system over SQL data": "https://python.langchain.com/docs/tutorials/sql_qa/"}, "OPENAI_TEMPLATE": {"Generate Synthetic Data": "https://python.langchain.com/docs/tutorials/data_generation/"}, "create_openai_data_generator": {"Generate Synthetic Data": "https://python.langchain.com/docs/tutorials/data_generation/"}, "DatasetGenerator": {"Generate Synthetic Data": "https://python.langchain.com/docs/tutorials/data_generation/"}, "create_data_generation_chain": {"Generate Synthetic Data": "https://python.langchain.com/docs/tutorials/data_generation/"}, "create_extraction_chain_pydantic": {"Generate Synthetic Data": "https://python.langchain.com/docs/tutorials/data_generation/"}}
\ No newline at end of file
diff --git a/docs/docs/contributing/code/guidelines.mdx b/docs/docs/contributing/how_to/code/guidelines.mdx
similarity index 87%
rename from docs/docs/contributing/code/guidelines.mdx
rename to docs/docs/contributing/how_to/code/guidelines.mdx
index 7f75199b1e1..175290a6428 100644
--- a/docs/docs/contributing/code/guidelines.mdx
+++ b/docs/docs/contributing/how_to/code/guidelines.mdx
@@ -6,7 +6,7 @@ Here are some things to keep in mind for all types of contributions:
 - Fill out the checked-in pull request template when opening pull requests. Note related issues and tag relevant maintainers.
 - Ensure your PR passes formatting, linting, and testing checks before requesting a review.
   - If you would like comments or feedback on your current progress, please open an issue or discussion and tag a maintainer.
-  - See the sections on [Testing](/docs/contributing/code/setup#testing) and [Formatting and Linting](/docs/contributing/code/setup#formatting-and-linting) for how to run these checks locally.
+  - See the sections on [Testing](setup.mdx#testing) and [Formatting and Linting](setup.mdx#formatting-and-linting) for how to run these checks locally.
 - Backwards compatibility is key. Your changes must not be breaking, except in case of critical bug and security fixes.
 - Look for duplicate PRs or issues that have already been opened before opening a new one.
 - Keep scope as isolated as possible. As a general rule, your changes should not affect more than one package at a time.
@@ -29,7 +29,7 @@ or new agents/chains from outside contributors without an existing GitHub discus
 
 - New features must come with docs, unit tests, and (if appropriate) integration tests.
 - New integrations must come with docs, unit tests, and (if appropriate) integration tests.
-  - See [this page](/docs/contributing/integrations) for more details on contributing new integrations.
+  - See [this page](../integrations.mdx) for more details on contributing new integrations.
 - New functionality should not inherit from or use deprecated methods or classes.
 - We will reject features that are likely to lead to security vulnerabilities or reports.
 - Do not add any hard dependencies. Integrations may add optional dependencies.
diff --git a/docs/docs/contributing/code/index.mdx b/docs/docs/contributing/how_to/code/index.mdx
similarity index 58%
rename from docs/docs/contributing/code/index.mdx
rename to docs/docs/contributing/how_to/code/index.mdx
index 43b90785567..cd3889bed0c 100644
--- a/docs/docs/contributing/code/index.mdx
+++ b/docs/docs/contributing/how_to/code/index.mdx
@@ -2,5 +2,5 @@
 
 If you would like to add a new feature or update an existing one, please read the resources below before getting started:
 
-- [General guidelines](/docs/contributing/code/guidelines/)
-- [Setup](/docs/contributing/code/setup/)
+- [General guidelines](guidelines.mdx)
+- [Setup](setup.mdx)
diff --git a/docs/docs/contributing/code/setup.mdx b/docs/docs/contributing/how_to/code/setup.mdx
similarity index 98%
rename from docs/docs/contributing/code/setup.mdx
rename to docs/docs/contributing/how_to/code/setup.mdx
index c5ad124f591..77dc1741adc 100644
--- a/docs/docs/contributing/code/setup.mdx
+++ b/docs/docs/contributing/how_to/code/setup.mdx
@@ -71,7 +71,7 @@ To run unit tests in Docker:
 make docker_tests
 ```
 
-There are also [integration tests and code-coverage](/docs/contributing/testing/) available.
+There are also [integration tests and code-coverage](../testing.mdx) available.
 
 ### Only develop langchain_core or langchain_community
 
diff --git a/docs/docs/contributing/documentation/index.mdx b/docs/docs/contributing/how_to/documentation/index.mdx
similarity index 65%
rename from docs/docs/contributing/documentation/index.mdx
rename to docs/docs/contributing/how_to/documentation/index.mdx
index 564edf6d534..53e3cb05271 100644
--- a/docs/docs/contributing/documentation/index.mdx
+++ b/docs/docs/contributing/how_to/documentation/index.mdx
@@ -3,5 +3,5 @@
 Documentation is a vital part of LangChain. We welcome both new documentation for new features and 
 community improvements to our current documentation. Please read the resources below before getting started:
 
-- [Documentation style guide](/docs/contributing/documentation/style_guide/)
-- [Setup](/docs/contributing/documentation/setup/)
+- [Documentation style guide](style_guide.mdx)
+- [Setup](setup.mdx)
diff --git a/docs/docs/contributing/documentation/setup.mdx b/docs/docs/contributing/how_to/documentation/setup.mdx
similarity index 100%
rename from docs/docs/contributing/documentation/setup.mdx
rename to docs/docs/contributing/how_to/documentation/setup.mdx
diff --git a/docs/docs/contributing/documentation/style_guide.mdx b/docs/docs/contributing/how_to/documentation/style_guide.mdx
similarity index 96%
rename from docs/docs/contributing/documentation/style_guide.mdx
rename to docs/docs/contributing/how_to/documentation/style_guide.mdx
index 76a6ab837b3..437977573c0 100644
--- a/docs/docs/contributing/documentation/style_guide.mdx
+++ b/docs/docs/contributing/how_to/documentation/style_guide.mdx
@@ -11,9 +11,9 @@ organization and structure.
 ## Philosophy
 
 LangChain's documentation follows the [Diataxis framework](https://diataxis.fr).
-Under this framework, all documentation falls under one of four categories: [Tutorials](/docs/contributing/documentation/style_guide/#tutorials),
-[How-to guides](/docs/contributing/documentation/style_guide/#how-to-guides),
-[References](/docs/contributing/documentation/style_guide/#references), and [Explanations](/docs/contributing/documentation/style_guide/#conceptual-guide).
+Under this framework, all documentation falls under one of four categories: [Tutorials](#tutorials),
+[How-to guides](#how-to-guides),
+[References](#references), and [Explanations](#conceptual-guide).
 
 ### Tutorials
 
diff --git a/docs/docs/contributing/how_to/index.mdx b/docs/docs/contributing/how_to/index.mdx
new file mode 100644
index 00000000000..820c20c97a5
--- /dev/null
+++ b/docs/docs/contributing/how_to/index.mdx
@@ -0,0 +1,5 @@
+# How-to Guides
+
+- [**Documentation**](documentation/index.mdx): Help improve our docs, including this one!
+- [**Code**](code/index.mdx): Help us write code, fix bugs, or improve our infrastructure.
+- [**Integrations**](integrations.mdx): Help us integrate with your favorite vendors and tools.
\ No newline at end of file
diff --git a/docs/docs/contributing/integrations.mdx b/docs/docs/contributing/how_to/integrations.mdx
similarity index 98%
rename from docs/docs/contributing/integrations.mdx
rename to docs/docs/contributing/how_to/integrations.mdx
index 0c60ca739dd..ed2cc9ec449 100644
--- a/docs/docs/contributing/integrations.mdx
+++ b/docs/docs/contributing/how_to/integrations.mdx
@@ -4,7 +4,7 @@ sidebar_position: 5
 
 # Contribute Integrations
 
-To begin, make sure you have all the dependencies outlined in guide on [Contributing Code](/docs/contributing/code/).
+To begin, make sure you have all the dependencies outlined in guide on [Contributing Code](code/index.mdx).
 
 There are a few different places you can contribute integrations for LangChain:
 
@@ -138,7 +138,7 @@ By default, this will include stubs for a Chat Model, an LLM, and/or a Vector St
 
 Some basic tests are presented in the `tests/` directory. You should add more tests to cover your package's functionality.
 
-For information on running and implementing tests, see the [Testing guide](/docs/contributing/testing/).
+For information on running and implementing tests, see the [Testing guide](testing.mdx).
 
 ### Write documentation
 
diff --git a/docs/docs/contributing/testing.mdx b/docs/docs/contributing/how_to/testing.mdx
similarity index 100%
rename from docs/docs/contributing/testing.mdx
rename to docs/docs/contributing/how_to/testing.mdx
diff --git a/docs/docs/contributing/index.mdx b/docs/docs/contributing/index.mdx
index 68736123b50..e567ee75a71 100644
--- a/docs/docs/contributing/index.mdx
+++ b/docs/docs/contributing/index.mdx
@@ -8,13 +8,21 @@ As an open-source project in a fast developing field, we are extremely open to c
 
 ## Tutorials
 
-Coming soon! We are working on tutorials to help you make your first contribution to the project.
+More coming soon! We are working on tutorials to help you make your first contribution to the project.
+
+- [**Make your first docs PR**](tutorials/docs.mdx)
 
 ## How-to Guides
 
-- [**Documentation**](/docs/contributing/documentation/): Help improve our docs, including this one!
-- [**Code**](/docs/contributing/code/): Help us write code, fix bugs, or improve our infrastructure.
-- [**Integrations**](integrations.mdx): Help us integrate with your favorite vendors and tools.
+- [**Documentation**](how_to/documentation/index.mdx): Help improve our docs, including this one!
+- [**Code**](how_to/code/index.mdx): Help us write code, fix bugs, or improve our infrastructure.
+- [**Integrations**](how_to/integrations.mdx): Help us integrate with your favorite vendors and tools.
+
+## Reference
+
+- [**Repository Structure**](reference/repo_structure.mdx): Understand the high level structure of the repository.
+- [**Review Process**](reference/review_process.mdx): Learn about the review process for pull requests.
+- [**Frequently Asked Questions (FAQ)**](reference/faq.mdx): Get answers to common questions about contributing.
 
 ## Community
 
diff --git a/docs/docs/contributing/faq.mdx b/docs/docs/contributing/reference/faq.mdx
similarity index 90%
rename from docs/docs/contributing/faq.mdx
rename to docs/docs/contributing/reference/faq.mdx
index e1993e1a83f..d546d95b634 100644
--- a/docs/docs/contributing/faq.mdx
+++ b/docs/docs/contributing/reference/faq.mdx
@@ -27,11 +27,11 @@ fork in order to enable this setting.
 
 ### Why hasn't my PR been reviewed?
 
-Please reference our [Review Process](/docs/contributing/review_process/).
+Please reference our [Review Process](review_process.mdx).
 
 ### Why was my PR closed?
 
-Please reference our [Review Process](/docs/contributing/review_process/).
+Please reference our [Review Process](review_process.mdx).
 
 ### I think my PR was closed in a way that didn't follow the review process. What should I do?
 
diff --git a/docs/docs/contributing/reference/index.mdx b/docs/docs/contributing/reference/index.mdx
new file mode 100644
index 00000000000..4311a01cda1
--- /dev/null
+++ b/docs/docs/contributing/reference/index.mdx
@@ -0,0 +1,5 @@
+# Reference
+
+- [**Repository Structure**](repo_structure.mdx): Understand the high level structure of the repository.
+- [**Review Process**](review_process.mdx): Learn about the review process for pull requests.
+- [**Frequently Asked Questions (FAQ)**](faq.mdx): Get answers to common questions about contributing.
\ No newline at end of file
diff --git a/docs/docs/contributing/repo_structure.mdx b/docs/docs/contributing/reference/repo_structure.mdx
similarity index 86%
rename from docs/docs/contributing/repo_structure.mdx
rename to docs/docs/contributing/reference/repo_structure.mdx
index 30459d55784..f7df2f11423 100644
--- a/docs/docs/contributing/repo_structure.mdx
+++ b/docs/docs/contributing/reference/repo_structure.mdx
@@ -52,7 +52,7 @@ There are other files in the root directory level, but their presence should be
 The `/docs` directory contains the content for the documentation that is shown
 at https://python.langchain.com/ and the associated API Reference https://python.langchain.com/api_reference/langchain/index.html.
 
-See the [documentation](/docs/contributing/documentation/) guidelines to learn how to contribute to the documentation.
+See the [documentation](../how_to/documentation/index.mdx) guidelines to learn how to contribute to the documentation.
 
 ## Code
 
@@ -60,6 +60,6 @@ The `/libs` directory contains the code for the LangChain packages.
 
 To learn more about how to contribute code see the following guidelines:
 
-- [Code](/docs/contributing/code/): Learn how to develop in the LangChain codebase.
-- [Integrations](./integrations.mdx): Learn how to contribute to third-party integrations to `langchain-community` or to start a new partner package.
-- [Testing](./testing.mdx): Guidelines to learn how to write tests for the packages.
+- [Code](../how_to/code/index.mdx): Learn how to develop in the LangChain codebase.
+- [Integrations](../how_to/integrations.mdx): Learn how to contribute to third-party integrations to `langchain-community` or to start a new partner package.
+- [Testing](../how_to/testing.mdx): Guidelines to learn how to write tests for the packages.
diff --git a/docs/docs/contributing/review_process.mdx b/docs/docs/contributing/reference/review_process.mdx
similarity index 100%
rename from docs/docs/contributing/review_process.mdx
rename to docs/docs/contributing/reference/review_process.mdx
diff --git a/docs/docs/contributing/tutorials/docs.mdx b/docs/docs/contributing/tutorials/docs.mdx
new file mode 100644
index 00000000000..423163d1443
--- /dev/null
+++ b/docs/docs/contributing/tutorials/docs.mdx
@@ -0,0 +1,51 @@
+# Make your first docs PR
+
+This tutorial will guide you through making a simple documentation edit, like correcting a typo.
+
+### **Prerequisites**
+- GitHub account.
+- Familiarity with GitHub pull requests (basic understanding).
+
+---
+
+## Editing a Documentation Page on GitHub**
+
+Sometimes you want to make a small change, like fixing a typo, and the easiest way to do this is to use GitHub's editor directly.
+
+### **Steps**
+
+1. **Navigate to the documentation page in the LangChain docs:**
+   - On the documentation page, find the green "Edit this page" link at the bottom of the page.
+   - Click the button to be directed to the GitHub editor.
+   - If the file you're editing is a Jupyter Notebook (.ipynb) instead of a Markdown (.md, .mdx)
+        file, we recommend following the steps in section 3.
+
+2. **Fork the repository:**
+   - If you haven't already, GitHub will prompt you to fork the repository to your account.
+   - Make sure to fork the repository into your **personal account and not an organization** ([why?](../reference/faq.mdx#how-do-i-allow-maintainers-to-edit-my-pr)).
+   - Click the "Fork this repository" button to create a copy of the repository under your account.
+   - After forking, you'll automatically be redirected to the correct editor.
+
+3. **Make your changes:**
+   - Correct the typo directly in the GitHub editor.
+
+4. **Commit your changes:**
+   - Click the "Commit changes..." button at the top-right corner of the page.
+   - Give your commit a title like "Fix typo in X section."
+   - Optionally, write an extended commit description.
+   - Click "Propose changes"
+
+5. **Submit a pull request (PR):**
+   - GitHub will redirect you to a page where you can create a pull request.
+   - First, review your proposed changes to ensure they are correct.
+   - Click **Create pull request**.
+   - Give your PR a title like `docs: Fix typo in X section`.
+   - Follow the checklist in the PR description template.
+
+## Getting a Review
+
+Once you've submitted the pull request, it will be reviewed by the maintainers. You may receive feedback or requests for changes. Keep an eye on the PR to address any comments.
+
+Docs PRs are typically reviewed within a few days, but it may take longer depending on the complexity of the change and the availability of maintainers.
+
+For more information on reviews, see the [Review Process](../reference/review_process.mdx).
diff --git a/docs/docs/contributing/tutorials/index.mdx b/docs/docs/contributing/tutorials/index.mdx
new file mode 100644
index 00000000000..fc557736189
--- /dev/null
+++ b/docs/docs/contributing/tutorials/index.mdx
@@ -0,0 +1,5 @@
+# Tutorials
+
+More coming soon! We are working on tutorials to help you make your first contribution to the project.
+
+- [**Make your first docs PR**](docs.mdx)
diff --git a/docs/docs/integrations/chat/index.mdx b/docs/docs/integrations/chat/index.mdx
index 557c11c34ae..e2b0be6da4d 100644
--- a/docs/docs/integrations/chat/index.mdx
+++ b/docs/docs/integrations/chat/index.mdx
@@ -11,7 +11,7 @@ keywords: [compatibility]
 :::info
 
 If you'd like to write your own chat model, see [this how-to](/docs/how_to/custom_chat_model/).
-If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing/integrations/).
+If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing/how_to/integrations/).
 
 :::
 
diff --git a/docs/docs/integrations/llms/index.mdx b/docs/docs/integrations/llms/index.mdx
index b902bf7ea7f..1831274c455 100644
--- a/docs/docs/integrations/llms/index.mdx
+++ b/docs/docs/integrations/llms/index.mdx
@@ -17,7 +17,7 @@ Unless you are specifically using more advanced prompting techniques, you are pr
 :::info
 
 If you'd like to write your own LLM, see [this how-to](/docs/how_to/custom_llm/).
-If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing/integrations/).
+If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing/how_to/integrations/).
 
 :::
 
diff --git a/docs/docs/introduction.mdx b/docs/docs/introduction.mdx
index 039cbca49db..7f5afbee628 100644
--- a/docs/docs/introduction.mdx
+++ b/docs/docs/introduction.mdx
@@ -91,8 +91,8 @@ See what changed in v0.3, learn how to migrate legacy code, read up on our versi
 ### [Security](/docs/security)
 Read up on [security](/docs/security) best practices to make sure you're developing safely with LangChain.
 
-### [Integrations](/docs/integrations/providers/)
+### [Integrations](integrations/providers/index.mdx)
 LangChain is part of a rich ecosystem of tools that integrate with our framework and build on top of it. Check out our growing list of [integrations](/docs/integrations/providers/).
 
-### [Contributing](/docs/contributing)
+### [Contributing](contributing/index.mdx)
 Check out the developer's guide for guidelines on contributing and help getting your dev environment set up.
diff --git a/docs/scripts/document_loader_feat_table.py b/docs/scripts/document_loader_feat_table.py
index 44e070dcd6a..b18ca200482 100644
--- a/docs/scripts/document_loader_feat_table.py
+++ b/docs/scripts/document_loader_feat_table.py
@@ -18,7 +18,7 @@ hide_table_of_contents: true
 :::info
 
 If you'd like to write your own document loader, see [this how-to](/docs/how_to/document_loader_custom/).
-If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing/integrations/).
+If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing/how_to/integrations/).
 
 :::
 
diff --git a/docs/scripts/kv_store_feat_table.py b/docs/scripts/kv_store_feat_table.py
index 55adb2ac87a..dd7fc1ca203 100644
--- a/docs/scripts/kv_store_feat_table.py
+++ b/docs/scripts/kv_store_feat_table.py
@@ -18,7 +18,7 @@ hide_table_of_contents: true
 
 :::info
 
-If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing/integrations/).
+If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing/how_to/integrations/).
 
 :::
 
diff --git a/docs/scripts/partner_pkg_table.py b/docs/scripts/partner_pkg_table.py
index 00219fe23f9..36822da3bb9 100644
--- a/docs/scripts/partner_pkg_table.py
+++ b/docs/scripts/partner_pkg_table.py
@@ -122,7 +122,7 @@ sidebar_class_name: hidden
 :::info
 
 If you'd like to write your own integration, see [Extending LangChain](/docs/how_to/#custom).
-If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing/integrations/).
+If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing/how_to/integrations/).
 
 :::
 
diff --git a/docs/scripts/tool_feat_table.py b/docs/scripts/tool_feat_table.py
index a71843a7528..981fe2f7065 100644
--- a/docs/scripts/tool_feat_table.py
+++ b/docs/scripts/tool_feat_table.py
@@ -189,7 +189,7 @@ A [toolkit](/docs/concepts#toolkits) is a collection of tools meant to be used t
 :::info
 
 If you'd like to write your own tool, see [this how-to](/docs/how_to/custom_tools/).
-If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing/integrations/).
+If you'd like to contribute an integration, see [Contributing integrations](/docs/contributing/how_to/integrations/).
 
 :::
 
diff --git a/docs/sidebars.js b/docs/sidebars.js
index 6f02bf20fdc..94daa97f1f7 100644
--- a/docs/sidebars.js
+++ b/docs/sidebars.js
@@ -427,24 +427,43 @@ module.exports = {
     },
   ],
   contributing: [
+    {
+      type: "doc",
+      label: "Welcome Contributors",
+      id: "contributing/index",
+    },
     {
       type: "category",
-      label: "Contributing",
-      items: [
-        "contributing/index",
-        "contributing/repo_structure",
-        "contributing/code/index",
-        { type: "doc", id: "contributing/code/guidelines", className: "hidden" },
-        { type: "doc", id: "contributing/code/setup", className: "hidden" },
-        "contributing/integrations",
-        "contributing/documentation/index",
-        { type: "doc", id: "contributing/documentation/style_guide", className: "hidden" },
-        { type: "doc", id: "contributing/documentation/setup", className: "hidden" },
-        "contributing/testing",
-        "contributing/review_process",
-        "contributing/faq",
-      ],
+      link: {type: 'doc', id: 'contributing/tutorials/index'},
+      label: "Tutorials",
       collapsible: false,
+      items: [{
+        type: 'autogenerated',
+        dirName: 'contributing/tutorials',
+        className: 'hidden',
+      }],
+    },
+    {
+      type: "category",
+      link: {type: 'doc', id: 'contributing/how_to/index'},
+      label: "How-to guides",
+      collapsible: false,
+      items: [{
+        type: 'autogenerated',
+        dirName: 'contributing/how_to',
+        className: 'hidden',
+      }],
+    },
+    {
+      type: "category",
+      link: {type: 'doc', id: 'contributing/reference/index'},
+      label: "Reference & FAQ",
+      collapsible: false,
+      items: [{
+        type: 'autogenerated',
+        dirName: 'contributing/reference',
+        className: 'hidden',
+      }],
     },
   ],
 };
diff --git a/docs/src/theme/NotFound/Content/index.js b/docs/src/theme/NotFound/Content/index.js
index aad591a8d47..8b7fc2f9690 100644
--- a/docs/src/theme/NotFound/Content/index.js
+++ b/docs/src/theme/NotFound/Content/index.js
@@ -67,7 +67,7 @@ const suggestedLinks = {
     ]
   },
   "/docs/contributing/documentation/technical_logistics/": {
-    "canonical": "/docs/contributing/documentation/",
+    "canonical": "/docs/contributing/how_to/documentation/",
     "alternative": [
       "/v0.1/docs/contributing/documentation/technical_logistics/"
     ]
@@ -2894,7 +2894,7 @@ const suggestedLinks = {
   "/docs/expression_language/how_to/binding/": {"canonical": "/docs/how_to/binding/", "alternative": ["/v0.1/docs/expression_language/primitives/binding/"]},
   "/docs/expression_language/how_to/configure/": {"canonical": "/docs/how_to/configure/", "alternative": ["/v0.1/docs/expression_language/primitives/configure/"]},
   "/docs/expression_language/cookbook/prompt_llm_parser/": {"canonical": "/docs/how_to/sequence/", "alternative": ["/v0.1/docs/expression_language/get_started/"]},
-  "/docs/contributing/documentation/": {"canonical": "/docs/contributing/documentation/", "alternative": ["/v0.1/docs/contributing/documentation/technical_logistics/"]},
+  "/docs/contributing/documentation/": {"canonical": "/docs/contributing/how_to/documentation/", "alternative": ["/v0.1/docs/contributing/documentation/technical_logistics/"]},
   "/docs/expression_language/cookbook/": {"canonical": "/docs/how_to/#langchain-expression-language-lcel", "alternative": ["/v0.1/docs/expression_language/"]},
   "/docs/integrations/text_embedding/solar/": {"canonical": "/docs/integrations/text_embedding/upstage/"},
   "/docs/integrations/chat/solar/": {"canonical": "/docs/integrations/chat/upstage/"},
diff --git a/docs/vercel.json b/docs/vercel.json
index d8a94fd1083..1f2aa98c786 100644
--- a/docs/vercel.json
+++ b/docs/vercel.json
@@ -89,6 +89,14 @@
     {
       "source": "/docs/troubleshooting/errors/:path((?:GRAPH_RECURSION_LIMIT|INVALID_CONCURRENT_GRAPH_UPDATE|INVALID_GRAPH_NODE_RETURN_VALUE|MULTIPLE_SUBGRAPHS)/?)*",
       "destination": "https://langchain-ai.github.io/langgraph/troubleshooting/errors/:path*"
+    },
+    {
+      "source": "/docs/contributing/:path((?:code|documentation|integrations|testing)(?:/|/.*/?)?)",
+      "destination": "/docs/contributing/how_to/:path"
+    },
+    {
+      "source": "/docs/contributing/:path((?:faq|repo_structure|review_process)/?)",
+      "destination": "/docs/contributing/reference/:path"
     }
   ]
 }