
LangChain: Observe, Evaluate, and Deploy Reliable AI Agents
LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.
GitHub - langchain-ai/langchain: The agent engineering platform
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 …
Introduction to LangChain - GeeksforGeeks
Apr 14, 2026 · 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 …
LangChain - Wikipedia
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 …
Welcome to LangChain — LangChain 0.0.107
Checkout the below guide for a walkthrough of how to get started using LangChain to create an Language Model application. There are several main modules that LangChain provides support for. …
LangChain overview - Docs by LangChain
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
LangChain.js for Beginners: A Free Course to Build Agentic AI Apps …
1 day ago · Why LangChain.js? If you already know Node.js, npm, TypeScript, and async/await, you don’t need to switch to Python to build AI apps. LangChain.js gives you components for chat models, …
LangChain: Open Source AI Agent Framework | Build Agents Faster
LangChain is an open source framework with a pre-built agent architecture and integrations for any model or tool, so you can build agents that adapt as fast as the ecosystem evolves.
What Is LangChain? How It Works, Components, and Use Cases
Learn what LangChain is, how it works, its core components including chains, agents, and memory, practical use cases in AI application development, and how to get started building with it.
LangChain · GitHub
Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks.