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Version: v0.14.1

Launch the RAGFlow Service from Source

A guide explaining how to set up a RAGFlow service from its source code. By following this guide, you'll be able to debug using the source code.

Target Audience​

Developers who have added new features or modified existing code and wish to debug using the source code, provided that their machine has the target deployment environment set up.

Prerequisites​

  • CPU ≥ 4 cores
  • RAM ≥ 16 GB
  • Disk ≥ 50 GB
  • Docker ≥ 24.0.0 & Docker Compose ≥ v2.26.1
NOTE

If you have not installed Docker on your local machine (Windows, Mac, or Linux), see the Install Docker Engine guide.

Launch the Service from Source​

To launch the RAGFlow service from source code:

Clone the RAGFlow Repository​

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

Install Python dependencies​

  1. Install Poetry:

    curl -sSL https://install.python-poetry.org | python3 -

  2. Configure Poetry:

    export POETRY_VIRTUALENVS_CREATE=true POETRY_VIRTUALENVS_IN_PROJECT=true

  3. Install Python dependencies:

    ~/.local/bin/poetry install --sync --no-root

    A virtual environment named .venv is created, and all Python dependencies are installed into the new environment.

Launch Third-party Services​

The following command launches the 'base' services (MinIO, Elasticsearch, Redis, and MySQL) using Docker Compose:

docker compose -f docker/docker-compose-base.yml up -d

Update host and port Settings for Third-party Services​

  1. Add the following line to /etc/hosts to resolve all hosts specified in docker/service_conf.yaml.template to 127.0.0.1:

    127.0.0.1       es01 infinity mysql minio redis

  2. In docker/service_conf.yaml.template, update mysql port to 5455 and es port to 1200, as specified in docker/.env.

Launch the RAGFlow Backend Service​

  1. Comment out the nginx line in docker/entrypoint.sh.

    # /usr/sbin/nginx

  2. Activate the Python virtual environment:

    source .venv/bin/activate
    export PYTHONPATH=$(pwd)

  3. Optional: If you cannot access HuggingFace, set the HF_ENDPOINT environment variable to use a mirror site:

    export HF_ENDPOINT=https://hf-mirror.com

  4. Run the entrypoint.sh script to launch the backend service:

    bash docker/entrypoint.sh

Launch the RAGFlow frontend service​

  1. Navigate to the web directory and install the frontend dependencies:

    cd web
    npm install --force

  2. Update proxy.target in .umirc.ts to http://127.0.0.1:9380:

    vim .umirc.ts

  3. Start up the RAGFlow frontend service:

    npm run dev

    The following message appears, showing the IP address and port number of your frontend service:

Access the RAGFlow service​

In your web browser, enter http://127.0.0.1:<PORT>/, ensuring the port number matches that shown in the screenshot above.

Stop the RAGFlow service when the development is done​

  1. Stop the RAGFlow frontend service:

    pkill npm

  2. Stop the RAGFlow backend service:

    pkill -f "docker/entrypoint.sh"