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README.md

🦜🔗 LangChain

Building applications with LLMs through composability

lint test License: MIT Twitter

Quick Install

pip install langchain

🤔 What is this?

Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge.

This library is aimed at assisting in the development of those types of applications.

📖 Documentation

Please see here for full documentation on:

  • Getting started (installation, setting up the environment, simple examples)
  • How-To examples (demos, integrations, helper functions)
  • Reference (full API docs) Resources (high-level explanation of core concepts)

🚀 What can this help with?

There are four main areas that LangChain is designed to help with. These are, in increasing order of complexity:

  1. LLM and Prompts
  2. Chains
  3. Agents
  4. Memory

For more information on these concepts, please see our full documentation.

🤖 Contributing

As an open source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infra, or better documentation.

For detailed information on how to contribute, see here.