RAGFlow Deployment Tutorial: Enterprise Knowledge Base in 10 Minutes

I tried a bunch of open-source RAG solutions—LangChain is too complex, LlamaIndex's docs are hard to follow, and building my own from scratch is too slow. Is there something that works out of the box? Check out RAGFlow.

💡 What You Will Learn

I tried a bunch of open-source RAG solutions—LangChain is too complex, LlamaIndex's docs are hard to follow, and building my own from scratch is too slow. Is there something that works out of the box?

RAGFlowWhat Is

git clone https://github.com/infiniflow/ragflow.git
cd ragflow/docker
# Configuration
cp .env.example .env
# .envLLM API Key
vim .env
# Start
docker compose up -d

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curl http://localhost:9380/api/v1/chat \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -d '{"question": "", "kb_id": "your_kb_id"}'