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langchain

by langchain-ai

LangChain is a Python framework for building applications and agents powered by large language models. It provides a standard way to connect models, data sources and tools so developers can swap providers and build prototypes quickly.

Worth a lookEstablished, with a few things to check (listed below).

View on GitHubProject website

Stars
148.5k
Licence
MIT
Runs on
Your computer
Setup
Technical
Language
Python
Age
1470 days

What you can do with it

  • Build a chatbot or assistant that answers questions using your own documents
  • Create AI agents that call tools and complete multi-step tasks
  • Switch between model providers such as OpenAI, Anthropic and Gemini without rewriting your app

Make money with it

A freelance developer could build and sell custom AI chatbots or document-search tools for small businesses.

An idea, not financial advice. Check the licence before charging for anything built on it.

Ways a business could use it

  • Build an internal assistant that answers staff or customer questions from your own documents, reducing support time
  • Automate repetitive tasks such as summarising emails or drafting replies using an AI agent

Can you use it commercially?

Free to use, change and sell, including in paid products. Keep the copyright notice.

Not legal advice. Read the project's licence file before building a product on it.

Getting it running

Install it as a Python package with uv add langchain (or pip), then write Python code that calls your chosen model.

Follow the official instructions in the project README.

Things to check

  • Requires coding knowledge, so it is not a ready-made app
  • Most model providers need paid API keys
  • Related tools such as LangSmith are paid hosted services

Checked 26 Oct 2026. Summary drafted by AI from the project's README.

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