langchain/README.md
2022-12-12 06:07:40 -08:00

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🦜🔗 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 are able to 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 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.