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infiniflow/ragflow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…

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From the README

Cloud | Documentation | Roadmap | Discord 📕 Table of Contents 💡 What is RAGFlow? 🎮 Get Started 🔥 Latest Updates 🌟 Key Features 🔎 System Architecture 🏠 Local Deployment 📚 Documentation 📜 Roadmap 🏄 Community 🙌 Contributing 💡 What is RAGFlow?

Setup prompt

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Set up the GitHub repository infiniflow/ragflow (RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs).
Repository: https://github.com/infiniflow/ragflow

Official install commands found in the README:
git clone https://github.com/infiniflow/ragflow.git
git checkout v1.0.0-rc2
docker compose -f docker-compose.yml up -d
curl -f http://localhost/api/v1/system/healthz
docker logs --tail 50 ragflow-cpu
uv run tools/scripts/download_dev_deps.py
docker compose --env-file docker/.env -f docker/docker-compose-base.yml up -d --wait es01 mysql minio nats kvrocks
npm install
curl -f http://127.0.0.1:9380/api/v1/system/healthz

Clone the repository and follow those steps. Do not invent package names or extra install commands.
Review the code before running anything.

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