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### Fixed documentation for building docker image I'm assuming that this was a mistake (but I could be missing something) [here](https://github.com/infiniflow/ragflow/pull/4658/files#:~:text=docker%20build%20%2D%2Dbuild%2Darg%20LIGHTEN%3D1%20%2Df%20Dockerfile%20%2Dt%20infiniflow/ragflow%3Anightly%2Dslim%20.) when the docker building instructions for the slim image was just changed away from an actual `docker build` command to the mac os `docker compose up` command. This is just reverting the change. ### Type of change - [X] Documentation Update
69 lines
2.2 KiB
Plaintext
69 lines
2.2 KiB
Plaintext
---
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sidebar_position: 1
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slug: /build_docker_image
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---
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# Build a RAGFlow Docker Image
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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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.
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## Target Audience
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- Developers who have added new features or modified the existing code and require a Docker image to view and debug their changes.
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- Developers looking to build a RAGFlow Docker image for an ARM64 platform.
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- Testers looking to explore the latest features of RAGFlow in a Docker image.
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## Prerequisites
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- CPU ≥ 4 cores
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- RAM ≥ 16 GB
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- Disk ≥ 50 GB
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- Docker ≥ 24.0.0 & Docker Compose ≥ v2.26.1
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## Build a Docker image
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<Tabs
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defaultValue="without"
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values={[
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{label: 'Build a Docker image without embedding models', value: 'without'},
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{label: 'Build a Docker image including embedding models', value: 'including'}
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]}>
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<TabItem value="without">
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This image is approximately 2 GB in size and relies on external LLM and embedding services.
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:::tip NOTE
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While we also test RAGFlow on ARM64 platforms, we do not plan to maintain RAGFlow Docker images for ARM. However, you can build an image yourself on a `linux/arm64` or `darwin/arm64` host machine as well.
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:::
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```bash
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git clone https://github.com/infiniflow/ragflow.git
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cd ragflow/
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docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
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```
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</TabItem>
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<TabItem value="including">
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This image is approximately 9 GB in size. As it includes embedding models, it relies on external LLM services only.
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:::tip NOTE
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While we also test RAGFlow on ARM64 platforms, we do not plan to maintain RAGFlow Docker images for ARM. However, you can build an image yourself on a `linux/arm64` or `darwin/arm64` host machine.
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:::
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```bash
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git clone https://github.com/infiniflow/ragflow.git
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cd ragflow/
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pip3 install huggingface_hub nltk
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python3 download_deps.py
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docker build -f Dockerfile.deps -t infiniflow/ragflow_deps .
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docker build -f Dockerfile -t infiniflow/ragflow:nightly .
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docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
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```
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</TabItem>
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</Tabs>
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