LangChain docs

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Bartosz Roguski
Machine Learning Engineer
July 1, 2025
Glossary Category

The LangChain documentation is the official guides and API reference, hosted at docs.langchain.com, that are designed to help developers go from “pip install” to production-grade Large Language Model (LLM) applications. They combine narrative guides, copy-paste code, and auto-generated class docs for Python and TypeScript. Quickstart shows how to build a Retrieval-Augmented Generation chatbot in under 10 minutes; Modules dives into loaders, embeds, chains, agents, memory, and callbacks; and Cookbook offers end-to-end notebooks on orchestration, streaming, and multi-agent evaluation. Version selectors clearly display breaking changes in weekly releases, while search displays pages of code and concepts side-by-side. Each page links to Colab or Codespaces, embeds Disqus streams for Q&A, and has an “Edit on GitHub” button that feeds a CI pipeline so community fixes are deployed in minutes. By combining concise explanations with real-world examples, LangChain’s docs reduce onboarding time, instill best practices, and solidify compliance audits for enterprise AI.