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Restructured guides (#5549)
### What problem does this PR solve? ### Type of change - [x] Documentation Update
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@ -21,7 +21,6 @@ A guide explaining how to build a RAGFlow Docker image from its source code. By
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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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- For ARM64 platforms, please upgrade the `xgboost` version in **pyproject.toml** to `1.6.0` and ensure **unixODBC** is properly installed.
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## Build a Docker image
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@ -35,8 +34,9 @@ A guide explaining how to build a RAGFlow Docker image from its source code. By
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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 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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:::danger IMPORTANT
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- 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.
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- For ARM64 platforms, please upgrade the `xgboost` version in **pyproject.toml** to `1.6.0` and ensure **unixODBC** is properly installed.
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:::
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```bash
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@ -53,8 +53,9 @@ docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-s
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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 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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:::danger IMPORTANT
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- 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.
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- For ARM64 platforms, please upgrade the `xgboost` version in **pyproject.toml** to `1.6.0` and ensure **unixODBC** is properly installed.
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:::
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```bash
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