RAGFlow
infiniflow/ragflow
RAG 引擎，文档解析深，回答带引用溯源
部署命令
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 -d摘自项目 README。需要一台装了 Docker 的服务器，命令可能还需补充环境变量。
项目简介（摘自 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…
- 星数
- ★ 91.1k
- 语言
- Python
- 许可证
- Apache-2.0
- 最近更新
- 2026-09-22
- 分类
- AI 工具
- 场景
- 通用工具
