- LangChain is a framework to build with LLMs by chaining interoperable components. LangGraph is the framework for building controllable agentic workflows.
- Components are modular and easy-to-use, whether you are using the rest of the LangChain framework or not.
- LangChain is a Python framework that helps someone build an AI application and simplify all the requirements without having to code all the little details.
- [Week of 6/24] LangChain Release Notes. We've launched LangGraph Cloud in closed beta, self-improving evaluators in LangSmith, and more.
- For developers aiming to construct more complex applications, langchain itself offers a rich set of features for building chains, agents, and retrieval strategies.
- ...LangChain plugins Releasing `langchain-aiplugins`: a repository showing how to deploy LangChains as an AIPlugin, letting ChatGPT call other chains and agents.
- langchain: Chains, agents, and retrieval strategies that make up an application's cognitive architecture.
- Issues:683
- Last commit:15 July 2024
- LangChain is a framework designed to simplify the creation of applications using large language models (LLMs). As a language model integration framework...
- Chains: LangChain provides a standard interface for chains, lots of integrations with other tools, and end-to-end chains for common applications.
- Version:0.2.8 · 15 July 2024
- License:MIT License (MIT)
pip install langchain
- LangChain. lang-chain is a technique for adapting large language models (LLMs) to specific tasks. Introduction for Lang Chain.