Restructured guides (#5549)

### What problem does this PR solve?

### Type of change

- [x] Documentation Update
This commit is contained in:
writinwaters
2025-03-03 15:42:39 +08:00
committed by GitHub
parent c190086707
commit 03d1265cfd
21 changed files with 46 additions and 38 deletions

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@ -21,7 +21,6 @@ A guide explaining how to build a RAGFlow Docker image from its source code. By
- RAM ≥ 16 GB
- Disk ≥ 50 GB
- Docker ≥ 24.0.0 & Docker Compose ≥ v2.26.1
- For ARM64 platforms, please upgrade the `xgboost` version in **pyproject.toml** to `1.6.0` and ensure **unixODBC** is properly installed.
## Build a Docker image
@ -35,8 +34,9 @@ A guide explaining how to build a RAGFlow Docker image from its source code. By
This image is approximately 2 GB in size and relies on external LLM and embedding services.
:::tip NOTE
While we also test RAGFlow on ARM64 platforms, we do not maintain RAGFlow Docker images for ARM. However, you can build an image yourself on a `linux/arm64` or `darwin/arm64` host machine as well.
:::danger IMPORTANT
- While we also test RAGFlow on ARM64 platforms, we do not maintain RAGFlow Docker images for ARM. However, you can build an image yourself on a `linux/arm64` or `darwin/arm64` host machine as well.
- For ARM64 platforms, please upgrade the `xgboost` version in **pyproject.toml** to `1.6.0` and ensure **unixODBC** is properly installed.
:::
```bash
@ -53,8 +53,9 @@ docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-s
This image is approximately 9 GB in size. As it includes embedding models, it relies on external LLM services only.
:::tip NOTE
While we also test RAGFlow on ARM64 platforms, we do not maintain RAGFlow Docker images for ARM. However, you can build an image yourself on a `linux/arm64` or `darwin/arm64` host machine.
:::danger IMPORTANT
- While we also test RAGFlow on ARM64 platforms, we do not maintain RAGFlow Docker images for ARM. However, you can build an image yourself on a `linux/arm64` or `darwin/arm64` host machine as well.
- For ARM64 platforms, please upgrade the `xgboost` version in **pyproject.toml** to `1.6.0` and ensure **unixODBC** is properly installed.
:::
```bash