infiniflow/ragflow 源码下载_部署教程

项目概述

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

项目地址

https://github.com/infiniflow/ragflow

项目页面预览

infiniflow/ragflow preview

关键指标

Stars：71496
主要语言：Python
License：Apache License 2.0
最近更新：2026-01-15T11:30:33Z
默认分支：main

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– SHA256：0b03046403769ef0cc7229b7a72e2388742a3d0c2581bcdf0cfab203eb65f469

安装部署要点（README 精选）

🔧 Configurations

When it comes to system configurations, you will need to manage the following files:

.env: Keeps the fundamental setups for the system, such as SVR_HTTP_PORT, MYSQL_PASSWORD, and
MINIO_PASSWORD.
service_conf.yaml.template: Configures the back-end services. The environment variables in this file will be automatically populated when the Docker container starts. Any environment variables set within the Docker container will be available for use, allowing you to customize service behavior based on the deployment environment.
docker-compose.yml: The system relies on docker-compose.yml to start up.

The ./docker/README file provides a detailed description of the environment settings and service
configurations which can be used as ${ENV_VARS} in the service_conf.yaml.template file.

To update the default HTTP serving port (80), go to docker-compose.yml and change 80:80
to <YOUR_SERVING_PORT>:80.

Updates to the above configurations require a reboot of all containers to take effect:

bash $ docker compose -f docker-compose.yml up -d

🔧 Build a Docker image

This image is approximately 2 GB in size and relies on external LLM and embedding services.

git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly .

Or if you are behind a proxy, you can pass proxy arguments:

docker build --platform linux/amd64 \
  --build-arg http_proxy=http://YOUR_PROXY:PORT \
  --build-arg https_proxy=http://YOUR_PROXY:PORT \
  -f Dockerfile -t infiniflow/ragflow:nightly .

常用命令（从 README 提取）

$ git clone https://github.com/infiniflow/ragflow.git

$ cd ragflow/docker

   # git checkout v0.23.1
   # 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

$ docker logs -f docker-ragflow-cpu-1