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LangChain

The foundational framework for building LLM applications and agents

Frameworks MIT Library Intermediate

Stats

GitHub stars★ 100k+
LicenseMIT
HostingLibrary
DifficultyIntermediate

Get started

Official docs and GitHub repo

Visit LangChain ↗ View on GitHub ↗

What is LangChain?

LangChain provides modular building blocks for LLM applications — chains, agents, memory, retrieval, and tool use. It's the most widely adopted framework for building AI apps in Python and JavaScript. If you're building anything beyond a simple API call to an LLM, LangChain likely has a component for it.

Quick start

1
pip install langchain langchain-openai
2
from langchain_openai import ChatOpenAI
3

llm = ChatOpenAI(model="gpt-4o")

4

response = llm.invoke("Explain RAG in one paragraph")

Use cases

RAG applications

Multi-step AI agents

Document Q&A systems

LLM application backends

Compatible models

Works with every major LLM provider

Why this matters for India

// india context

Most AI startup job descriptions in India mention LangChain. Learning it is a career investment.