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Update version info to v0.22.1 (#11346)

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### What problem does this PR solve?

As title

### Type of change

- [x] Other (please describe): Update version info

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
This commit is contained in:
Jin Hai
2025-11-19 09:50:23 +08:00
committed by GitHub
parent 023f509501
commit 1cb6b7f5dd
22 changed files with 44 additions and 44 deletions
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2
docs/configurations.md
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@ -97,7 +97,7 @@ RAGFlow utilizes MinIO as its object storage solution, leveraging its scalabilit
- `SVR_HTTP_PORT`
The port used to expose RAGFlow's HTTP API service to the host machine, allowing **external** access to the service running inside the Docker container. Defaults to `9380`.
- `RAGFLOW-IMAGE`
The Docker image edition. Defaults to `infiniflow/ragflow:v0.22.0` (the RAGFlow Docker image without embedding models).
The Docker image edition. Defaults to `infiniflow/ragflow:v0.22.1` (the RAGFlow Docker image without embedding models).
:::tip NOTE
If you cannot download the RAGFlow Docker image, try the following mirrors.

2
docs/develop/build_docker_image.mdx
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@ -47,7 +47,7 @@ After building the infiniflow/ragflow:nightly image, you are ready to launch a f
1. Edit Docker Compose Configuration
Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.22.0` to `infiniflow/ragflow:nightly` to use the pre-built image.
Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.22.1` to `infiniflow/ragflow:nightly` to use the pre-built image.
2. Launch the Service

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docs/guides/dataset/configure_knowledge_base.md
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@ -133,7 +133,7 @@ See [Run retrieval test](./run_retrieval_test.md) for details.
## Search for dataset
As of RAGFlow v0.22.0, the search feature is still in a rudimentary form, supporting only dataset search by name.
As of RAGFlow v0.22.1, the search feature is still in a rudimentary form, supporting only dataset search by name.
![search dataset](https://raw.githubusercontent.com/infiniflow/ragflow-docs/main/images/search_datasets.jpg)

2
docs/guides/manage_files.md
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@ -87,4 +87,4 @@ RAGFlow's file management allows you to download an uploaded file:
![download_file](https://github.com/infiniflow/ragflow/assets/93570324/cf3b297f-7d9b-4522-bf5f-4f45743e4ed5)
> As of RAGFlow v0.22.0, bulk download is not supported, nor can you download an entire folder.
> As of RAGFlow v0.22.1, bulk download is not supported, nor can you download an entire folder.

2
docs/guides/manage_users_and_services.md
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@ -46,7 +46,7 @@ The Admin CLI and Admin Service form a client-server architectural suite for RAG
2. Install ragflow-cli.
```bash
pip install ragflow-cli==0.22.0
pip install ragflow-cli==0.22.1
```
3. Launch the CLI client:

10
docs/guides/upgrade_ragflow.mdx
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@ -48,16 +48,16 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
git clone https://github.com/infiniflow/ragflow.git
```
2. Switch to the latest, officially published release, e.g., `v0.22.0`:
2. Switch to the latest, officially published release, e.g., `v0.22.1`:
```bash
git checkout -f v0.22.0
git checkout -f v0.22.1
```
3. Update **ragflow/docker/.env**:
```bash
RAGFLOW_IMAGE=infiniflow/ragflow:v0.22.0
RAGFLOW_IMAGE=infiniflow/ragflow:v0.22.1
```
4. Update the RAGFlow image and restart RAGFlow:
@ -78,10 +78,10 @@ No, you do not need to. Upgrading RAGFlow in itself will *not* remove your uploa
1. From an environment with Internet access, pull the required Docker image.
2. Save the Docker image to a **.tar** file.
```bash
docker save -o ragflow.v0.22.0.tar infiniflow/ragflow:v0.22.0
docker save -o ragflow.v0.22.1.tar infiniflow/ragflow:v0.22.1
```
3. Copy the **.tar** file to the target server.
4. Load the **.tar** file into Docker:
```bash
docker load -i ragflow.v0.22.0.tar
docker load -i ragflow.v0.22.1.tar
```

6
docs/quickstart.mdx
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@ -44,7 +44,7 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
`vm.max_map_count`. This value sets the maximum number of memory map areas a process may have. Its default value is 65530. While most applications require fewer than a thousand maps, reducing this value can result in abnormal behaviors, and the system will throw out-of-memory errors when a process reaches the limitation.
RAGFlow v0.22.0 uses Elasticsearch or [Infinity](https://github.com/infiniflow/infinity) for multiple recall. Setting the value of `vm.max_map_count` correctly is crucial to the proper functioning of the Elasticsearch component.
RAGFlow v0.22.1 uses Elasticsearch or [Infinity](https://github.com/infiniflow/infinity) for multiple recall. Setting the value of `vm.max_map_count` correctly is crucial to the proper functioning of the Elasticsearch component.
<Tabs
defaultValue="linux"
@ -184,7 +184,7 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
```bash
$ git clone https://github.com/infiniflow/ragflow.git
$ cd ragflow/docker
$ git checkout -f v0.22.0
$ git checkout -f v0.22.1
```
3. Use the pre-built Docker images and start up the server:
@ -200,7 +200,7 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
| RAGFlow image tag | Image size (GB) | Stable? |
| ------------------- | --------------- | ------------------------ |
| v0.22.0 | &approx;2 | Stable release |
| v0.22.1 | &approx;2 | Stable release |
| nightly | &approx;2 | _Unstable_ nightly build |
```mdx-code-block