Building applications with LLMs through composability. 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. This is built to integrate as seamlessly as possible with the LangChain Python package. Specifically, this means all objects (prompts, LLMs, chains, etc) are designed in a way where they can be serialized and shared between languages.
Features
- This library is aimed at assisting in the development of applications
- Full documentation of prompts, chains, agents and more
- This is built to integrate as seamlessly as possible with the LangChain Python package
- The LangChainHub is a central place for the serialized versions of these prompts, chains, and agents
- Enables developers to build applications that they previously could not
Categories
Large Language Models (LLM)License
MIT LicenseFollow LangChain.js
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