langchain

SKILL.md

Framework for building LLM applications with agents, chains, RAG, and 500+ integrations.

Supports multiple LLM providers (OpenAI, Anthropic, Google) with unified interface and easy provider swapping

Implements ReAct agents with tool calling, structured outputs, and parallel tool execution for autonomous reasoning

Includes RAG pipelines with document loaders, text splitters, vector stores (Chroma, Pinecone, FAISS), and retrieval chains

Provides conversation memory management, streaming support, and LangSmith observability for production deployments

LangChain - Build LLM Applications with Agents & RAG

The most popular framework for building LLM-powered applications.

When to use LangChain

Use LangChain when:

Building agents with tool calling and reasoning (ReAct pattern)

Implementing RAG (retrieval-augmented generation) pipelines

Need to swap LLM providers easily (OpenAI, Anthropic, Google)

Creating chatbots with conversation memory

Rapid prototyping of LLM applications

Production deployments with LangSmith observability

Metrics:

119,000+ GitHub stars

272,000+ repositories use LangChain

500+ integrations (models, vector stores, tools)

3,800+ contributors