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Build a RAGFlow Docker Image
A guide explaining how to build a RAGFlow Docker image from its source code. By following this guide, you'll be able to create a local Docker image that can be used for development, debugging, or testing purposes.
Target Audience
- Developers who have added new features or modified the existing code and require a Docker image to view and debug their changes.
- Testers looking to explore the latest features of RAGFlow in a Docker image.
Prerequisites
- CPU ≥ 4 cores
- RAM ≥ 16 GB
- Disk ≥ 50 GB
- Docker ≥ 24.0.0 & Docker Compose ≥ v2.26.1
:::tip NOTE If you have not installed Docker on your local machine (Windows, Mac, or Linux), see the Install Docker Engine guide. :::
Build a RAGFlow Docker Image
To build a RAGFlow Docker image from source code:
Git Clone the Repository
git clone https://github.com/infiniflow/ragflow.git
cd ragflow
Build the Docker Image
Navigate to the ragflow directory where the Dockerfile and other necessary files are located. Now you can build the Docker image using the provided Dockerfile. The command below specifies which Dockerfile to use and tages the image with a name for reference purpose.
Build image ragflow:dev-slim
docker build -f Dockerfile.slim -t infiniflow/ragflow:dev-slim .
This image's size is about 1GB. It relies external LLM services since it doesn't contain embedding models.
Build image ragflow:dev
cd ragflow/
docker build -f Dockerfile -t infiniflow/ragflow:dev .
This image's size is about 11GB. It contains embedding models, and can inference via local CPU/GPU or external LLM services.