Updated instructions on downloading RAGFlow Slim and RAGFlow all-in-one. (#2785)

### What problem does this PR solve?


### Type of change

- [x] Documentation Update
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writinwaters
2024-10-10 19:24:54 +08:00
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parent 7742f67481
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5 changed files with 36 additions and 15 deletions

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@ -177,14 +177,20 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
3. Build the pre-built Docker images and start up the server:
> Running the following commands automatically downloads the *dev-slim* version RAGFlow Docker image. To download and run a specified Docker version, update `RAGFLOW_IMAGE` in **docker/.env** to the intended version, for example `RAGFLOW_IMAGE=infiniflow/ragflow:v0.12.0-slim`, before running the following commands.
> The command below downloads the dev version Docker image for RAGFlow slim (`dev-slim`). Note that RAGFlow slim Docker images do not include embedding models or Python libraries and hence are approximately 1GB in size.
```bash
$ cd ragflow/docker
$ docker compose up -d
$ docker compose -f docker-compose.yml up -d
```
> The core image is about 1 GB in size and may take a while to load.
> - To download a RAGFlow slim Docker image of a specific version, update the `RAGFlow_IMAGE` variable in **docker/.env** to your desired version. For example, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.12.0-slim`. After making this change, rerun the command above to initiate the download.
> - To download the dev version of RAGFlow Docker image *including* embedding models and Python libraries, update the `RAGFlow_IMAGE` variable in **docker/.env** to `RAGFLOW_IMAGE=infiniflow/ragflow:dev`. After making this change, rerun the command above to initiate the download.
> - To download a specific version of RAGFlow Docker image *including* embedding models and Python libraries, update the `RAGFlow_IMAGE` variable in **docker/.env** to your desired version. For example, `RAGFLOW_IMAGE=infiniflow/ragflow:v0.12.0`. After making this change, rerun the command above to initiate the download.
:::tip NOTE
A RAGFlow Docker image that includes embedding models and Python libraries is approximately 9GB in size and may take significantly longer time to load.
:::
4. Check the server status after having the server up and running: