官网路径：：https://ragflow.io/docs/dev/build_docker_image
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. - 官网提示没有镜像，但是可以自己编译，需要修改的地方就一处，
-
#RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1-slim（注释掉）
# To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1（去掉注释）
现在我们部署起来后，页面能正常访问，模型也能正常添加（本地、API方式），但是ragflow自带的嵌入模型无法在页面显示，请问这样正常吗？
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已解决
官网路径：：https://ragflow.io/docs/dev/build_docker_image
IMPORTANT
linux/arm64ordarwin/arm64host machine as well.xgboostversion in pyproject.toml to1.6.0and ensure unixODBC is properly installed.#RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1-slim（注释掉）
# To download the RAGFlow Docker image with embedding models, uncomment the following line instead:
RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.1（去掉注释）
现在我们部署起来后，页面能正常访问，模型也能正常添加（本地、API方式），但是ragflow自带的嵌入模型无法在页面显示，请问这样正常吗？