⚡ Building applications with LLMs through composability ⚡
pip install langchain
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.
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)
There are four main areas that LangChain is designed to help with. These are, in increasing order of complexity:
- LLM and Prompts
- Chains
- Agents
- Memory
For more information on these concepts, please see our full documentation.
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.