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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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29
README.md
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@ -187,7 +187,7 @@ releases! 🌟
> All Docker images are built for x86 platforms. We don't currently offer Docker images for ARM64.
> If you are on an ARM64 platform, follow [this guide](https://ragflow.io/docs/dev/build_docker_image) to build a Docker image compatible with your system.
> The command below downloads the `v0.21.1-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.21.1-slim`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server. For example: set `RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1` for the full edition `v0.21.1`.
> The command below downloads the `v0.21.1-slim` edition of the RAGFlow Docker image. See the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.21.1-slim`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server.
```bash
$ cd ragflow/docker
@ -195,20 +195,23 @@ releases! 🌟
$ docker compose -f docker-compose.yml up -d
# To use GPU to accelerate embedding and DeepDoc tasks:
# docker compose -f docker-compose-gpu.yml up -d
# sed -i '1i DEVICE=gpu' .env
# docker compose -f docker-compose.yml up -d
```
| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
|-------------------|-----------------|-----------------------|--------------------------|
| v0.21.1 | ≈9 | :heavy_check_mark: | Stable release |
| v0.21.1-slim | ≈2 | ❌ | Stable release |
| nightly | ≈9 | :heavy_check_mark: | _Unstable_ nightly build |
| nightly-slim | ≈2 | ❌ | _Unstable_ nightly build |
| v0.21.1 | ≈9 | ✔️ | Stable release |
| v0.21.1-slim | ≈2 | ❌ | Stable release |
| nightly | ≈2 | ❌ | _Unstable_ nightly build |
> Note: Starting with `v0.22.0`, we ship only the slim edition and no longer append the **-slim** suffix to the image tag.
4. Check the server status after having the server up and running:
```bash
$ docker logs -f ragflow-server
$ docker logs -f docker-ragflow-cpu-1
```
_The following output confirms a successful launch of the system:_
@ -286,16 +289,6 @@ RAGFlow uses Elasticsearch by default for storing full text and vectors. To swit
This image is approximately 2 GB in size and relies on external LLM and embedding services.
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
docker build --platform linux/amd64 --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
```
## 🔧 Build a Docker image including embedding models
This image is approximately 9 GB in size. As it includes embedding models, it relies on external LLM services only.
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
@ -315,7 +308,7 @@ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly
```bash
git clone https://github.com/infiniflow/ragflow.git
cd ragflow/
uv sync --python 3.10 --all-extras # install RAGFlow dependent python modules
uv sync --python 3.10 # install RAGFlow dependent python modules
uv run download_deps.py
pre-commit install
```