LangChain is an open-source framework that simplifies building applications using large language models. It helps developers connect LLMs with external data, tools and workflows and is available in both Python and JavaScript.
LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.
LangChain is a framework for building agents and LLM-powered applications. It helps you chain together interoperable components and third-party integrations to simplify AI application development — all while future-proofing decisions as the underlying technology evolves.
LangChain is a software framework that helps facilitate the integration of large language models (LLMs) into applications. As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.
LangChain is the platform for agent engineering. AI teams at Clay, Rippling, Cloudflare, Workday, and more trust LangChain’s products to engineer reliable agents.
LangChain is an open source framework with pre-built agent architectures and standard integrations for any model or tool.
LangChain is an open source orchestration framework for the development of applications using large language models (LLMs), like chatbots and virtual agents.
LangChain + Next.js template – template LangChain.js + Next.js application Social media agent – agent for sourcing, curating, and scheduling social media posts with human-in-the-loop (TypeScript) Agent Protocol – our attempt at codifying the framework-agnostic APIs that are needed to serve LLM agents in production
LangChain is an open source framework with a prebuilt agent architecture and integrations for any model or tool—so you can build agents that adapt as fast as the ecosystem evolves