• 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.
  • ...LangChain plugins Releasing `langchain-aiplugins`: a repository showing how to deploy LangChains as an AIPlugin, letting ChatGPT call other chains and agents.
  • For developers aiming to construct more complex applications, langchain itself offers a rich set of features for building chains, agents, and retrieval strategies.
  • Yayın zamanı: dün
    LangChain is an open-source framework designed to simplify the process of building applications powered by Large Language Models (LLMs).
  • [Week of 6/24] LangChain Release Notes. We've launched LangGraph Cloud in closed beta, self-improving evaluators in LangSmith, and more.
  • 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: Chains, agents, and retrieval strategies that make up an application's cognitive architecture.
    • Issues:
      685
    • Last commit:
      16 July 2024
  • 1 History. 2 Capabilities. 3 LangChain tools. 4 References. 5 External links. Toggle the table of contents. LangChain. 7 languages.