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Don't release full image (#10654)

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### What problem does this PR solve?

Introduced gpu profile in .env
Added Dockerfile_tei
fix datrie
Removed LIGHTEN flag

### Type of change

- [x] Documentation Update
- [x] Refactoring
This commit is contained in:
Zhichang Yu
2025-10-23 23:02:27 +08:00
committed by GitHub
parent 92739ea804
commit 73144e278b
67 changed files with 2792 additions and 3608 deletions
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24
docs/develop/build_docker_image.mdx
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@ -39,25 +39,6 @@ This image is approximately 2 GB in size and relies on external LLM and embeddin
- For ARM64 platforms, please upgrade the `xgboost` version in **pyproject.toml** to `1.6.0` and ensure **unixODBC** is properly installed.
:::
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
uv run download_deps.py
docker build -f Dockerfile.deps -t infiniflow/ragflow_deps .
docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
```
</TabItem>
<TabItem value="including">
This image is approximately 9 GB in size. As it includes embedding models, it relies on external LLM services only.
:::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
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
@ -66,18 +47,19 @@ docker build -f Dockerfile.deps -t infiniflow/ragflow_deps .
docker build -f Dockerfile -t infiniflow/ragflow:nightly .
```
</TabItem>
</Tabs>
## Launch a RAGFlow Service from Docker for MacOS
After building the infiniflow/ragflow:nightly-slim image, you are ready to launch a fully-functional RAGFlow service with all the required components, such as Elasticsearch, MySQL, MinIO, Redis, and more.
After building the infiniflow/ragflow:nightly image, you are ready to launch a fully-functional RAGFlow service with all the required components, such as Elasticsearch, MySQL, MinIO, Redis, and more.
## Example: Apple M2 Pro (Sequoia)
1. Edit Docker Compose Configuration
Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.21.1-slim` to `infiniflow/ragflow:nightly-slim` to use the pre-built image.
Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.21.1` to `infiniflow/ragflow:nightly` to use the pre-built image.
2. Launch the Service