LangChain Documentation
LangChain and LangGraph documentation. Use for agents, RAG, vector stores, chains, and LLM application development. Also includes Deep Agents SDK documentation.
Quick Reference
| Task |
Entry Point |
| LangChain quickstart |
contents/langchain/quickstart.mdx |
| LangGraph quickstart |
contents/langgraph/quickstart.mdx |
| Deep Agents quickstart |
contents/deepagents/quickstart.mdx |
| Building agents |
contents/langchain/agents.mdx |
| RAG / retrieval |
contents/langchain/rag.mdx |
| LangGraph persistence |
contents/langgraph/persistence.mdx |
| Python integrations |
contents/python/integrations/providers/ |
| JS/TS integrations |
contents/javascript/integrations/providers/ |
| Common errors |
contents/common-errors.mdx |
When to use
Use this skill when the user asks about:
- LangChain agents, chains, RAG, retrieval, memory, tools, or streaming
- LangGraph graph API, functional API, persistence, checkpointing, or subgraphs
- Deep Agents SDK (harness, skills, subagents, sandboxes, memory)
- Integrating LangChain with LLM providers (OpenAI, Anthropic, Google, Bedrock, etc.)
- Vector stores, embeddings, document loaders, or text splitters
- Deploying or scaling LangChain/LangGraph applications
- Migrating to LangChain v1 or LangGraph v1
How to find information
- First, read
TOC.md for complete file listing organized by directory
- Identify relevant section based on user's question
- Read specific files for details
TOC.md contains all files organized by directory - always check it first.
