Keywords AI

LangChain

LangChain

Agent FrameworksLayer 3Open Source
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What is LangChain?

LangChain is the most widely adopted framework for building LLM-powered applications and AI agents. It provides abstractions for chains, agents, tools, memory, and retrieval that make it easy to compose complex AI systems. LangGraph, its agent orchestration layer, enables building stateful, multi-actor workflows with human-in-the-loop capabilities. LangSmith provides tracing, evaluation, and monitoring. The LangChain ecosystem is the largest in the AI application development space.

Key Features

  • LangChain Expression Language (LCEL)
  • LangGraph for stateful multi-agent workflows
  • 1000+ integrations
  • LangSmith observability companion
  • Python and JavaScript SDKs

Common Use Cases

Developers building complex LLM applications who need a comprehensive orchestration framework

  • Building RAG applications
  • Multi-agent orchestration with LangGraph
  • Tool-using conversational agents
  • Document processing pipelines
  • Complex chain-of-thought workflows

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