Langchain

• https://docs.langchain.com/oss/python/langchain/overview (you can copy it to input it to an LLM - see "llms.txt")
• LangChain is an open source framework with an agent architecture and integrations with several LLMs
• Build LLM-powered applications
• It abstracts the process of interacting with the LLM
• Supports agent ecosystem (e.g., search on internet, query database, send emails)

Documentation

• Reference https://reference.langchain.com/python/langchain/
• Docs https://docs.langchain.com/oss/python/langchain/overview
• llms.txt: https://docs.langchain.com/llms.txt

• LangChain Hub: https://smith.langchain.com/hub provides community prompts, chains, agents, etc

• MCP server for the docs https://docs.langchain.com/use-these-docs#use-our-mcp-server

• Uses https://docs.langchain.com/mcp remote server

• Documentation Chat: https://chat.langchain.com/

• Under the hood it uses agentic RAG to fetch the appropriate fresh documentation for you based on your query