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LangChain

Build context-aware reasoning applications powered by LLMs

★ 140,349 GitHub MIT llmlangchainragagentspythonframework RAG & Wissen

Überblick

LangChain is a powerful open-source framework for building LLM-powered applications. With 140k+ GitHub stars, it provides a unified interface for chains, agents, RAG, and memory. Supports Python and TypeScript, integrates with 1000+ models and APIs, and is the de facto standard for building production LLM apps.

Anforderungen

Min vCPU
1
Min RAM
1024 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
2048 MB
Rec Disk
20 GB

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Affiliate-Hinweis

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  langchain:
    image: langchain/langchain
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/langchain:/data

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Anleitungen & Artikel

Getting Started with LangChain: Build Your First LLM Application

A practical tutorial to get started with LangChain — install, create chains, add memory, build RAG pipelines, and deploy. Step-by-step code examples included.

Jun 28, 2026

LangChain: The Ultimate Framework for Building LLM Applications

LangChain is the most popular open-source framework for building LLM applications — chains, agents, RAG, memory, and more. 140k+ stars on GitHub.

Jun 28, 2026