RAGFlow
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
Deploy command
cd ragflow/docker
git checkout v0.27.2
# Optional: use a stable tag (see releases: https://github.com/infiniflow/ragflow/releases)
# This step ensures the **entrypoint.sh** file in the code matches the Docker image version.
# Use CPU for DeepDoc tasks:
docker compose -f docker-compose.yml up -d
# To use GPU to accelerate DeepDoc tasks:
# sed -i '1i DEVICE=gpu' .env
# docker compose -f docker-compose.yml up -dTaken from the project README. You need a server with Docker; you may still need to add environment variables.
From the README
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. It offers a streamlined RAG workflow adaptable to enterprises of any scale. Powered by a converged context engine and pre-buil…
- Stars
- ★ 91.1k
- Language
- Python
- License
- Apache-2.0
- Last updated
- 2026-09-22
- Category
- AI tools
- Section
- General
