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- ---
- sidebar_position: 1
- slug: /build_docker_image
- ---
-
- # Build a RAGFlow Docker Image
- import Tabs from '@theme/Tabs';
- import TabItem from '@theme/TabItem';
-
- 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](https://docs.docker.com/engine/install/) guide.
- :::
-
- ## Build a Docker image
-
- <Tabs
- defaultValue="without"
- values={[
- {label: 'Build a Docker image without embedding models', value: 'without'},
- {label: 'Build a Docker image including embedding models', value: 'including'}
- ]}>
- <TabItem value="without">
-
- This image is approximately 1 GB in size and relies on external LLM and embedding services.
-
- ```bash
- git clone https://github.com/infiniflow/ragflow.git
- cd ragflow/
- pip3 install huggingface-hub nltk
- python3 download_deps.py
- docker build -f Dockerfile.slim -t infiniflow/ragflow:dev-slim .
- ```
-
- </TabItem>
- <TabItem value="including">
-
- ## Build a Docker image including embedding models
-
- This image is approximately 9 GB in size. As it includes embedding models, it relies on external LLM services only.
-
- ```bash
- git clone https://github.com/infiniflow/ragflow.git
- cd ragflow/
- pip3 install huggingface-hub nltk
- python3 download_deps.py
- docker build -f Dockerfile -t infiniflow/ragflow:dev .
- ```
-
- </TabItem>
- <TabItem value="linux/arm64">
-
- ## 🔧 Build a Docker image for linux arm64
-
- We are currently unable to regularly build multi-arch images with CI and have no plans to publish arm64 images in the near future.
- However, you can build an image yourself on a linux/arm64 host machine:
-
- ```bash
- git clone https://github.com/infiniflow/ragflow.git
- cd ragflow/
- pip3 install huggingface-hub nltk
- python3 download_deps.py
- docker build --build-arg ARCH=arm64 -f Dockerfile.slim -t infiniflow/ragflow:dev-slim .
- docker build --build-arg ARCH=arm64 -f Dockerfile -t infiniflow/ragflow:dev .
- ```
- </TabItem>
-
- </Tabs>
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