Docs: Update version references to v0.25.0 in READMEs and docs (#14257)

### What problem does this PR solve?

- Update version tags in README files (including translations) from
v0.24.0 to v0.25.0
- Modify Docker image references and documentation to reflect new
version
- Update version badges and image descriptions
- Maintain consistency across all language variants of README files

### Type of change

- [x] Documentation Update
This commit is contained in:
Liu An
2026-04-21 17:26:50 +08:00
committed by GitHub
parent afdf0814d7
commit a33d0737cd
30 changed files with 73 additions and 73 deletions

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@@ -16,7 +16,7 @@ The RAGFlow CLI is a command-line-based system administration tool that offers a
2. Install ragflow-cli.
```bash
pip install ragflow-cli==0.24.0
pip install ragflow-cli==0.25.0
```
3. Launch the CLI client:
@@ -439,7 +439,7 @@ show_version
+-----------------------+
| version |
+-----------------------+
| v0.24.0-24-g6f60e9f9e |
| v0.25.0-24-g6f60e9f9e |
+-----------------------+
```

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@@ -103,7 +103,7 @@ 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:v0.24.0` (the RAGFlow Docker image without embedding models).
The Docker image edition. Defaults to `infiniflow/ragflow:v0.25.0` (the RAGFlow Docker image without embedding models).
:::tip NOTE
If you cannot download the RAGFlow Docker image, try the following mirrors.

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@@ -62,16 +62,16 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
git pull
```
3. Switch to the latest, officially published release, e.g., `v0.24.0`:
3. Switch to the latest, officially published release, e.g., `v0.25.0`:
```bash
git checkout -f v0.24.0
git checkout -f v0.25.0
```
4. Update **ragflow/docker/.env**:
```bash
RAGFLOW_IMAGE=infiniflow/ragflow:v0.24.0
RAGFLOW_IMAGE=infiniflow/ragflow:v0.25.0
```
5. Update the RAGFlow image and restart RAGFlow:
@@ -92,10 +92,10 @@ 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.v0.24.0.tar infiniflow/ragflow:v0.24.0
docker save -o ragflow.v0.25.0.tar infiniflow/ragflow:v0.25.0
```
3. Copy the **.tar** file to the target server.
4. Load the **.tar** file into Docker:
```bash
docker load -i ragflow.v0.24.0.tar
docker load -i ragflow.v0.25.0.tar
```

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@@ -49,7 +49,7 @@ 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:v0.24.0` 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:v0.25.0` to `infiniflow/ragflow:nightly` to use the pre-built image.
2. Launch the Service

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@@ -135,7 +135,7 @@ See [Run retrieval test](./run_retrieval_test.md) for details.
## Search for dataset
As of RAGFlow v0.24.0, the search feature is still in a rudimentary form, supporting only dataset search by name.
As of RAGFlow v0.25.0, 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)

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@@ -89,4 +89,4 @@ 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 v0.24.0, bulk download is not supported, nor can you download an entire folder.
> As of RAGFlow v0.25.0, bulk download is not supported, nor can you download an entire folder.

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@@ -48,7 +48,7 @@ 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 v0.24.0 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 v0.25.0 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.
<Tabs
defaultValue="linux"
@@ -193,7 +193,7 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
3. Switch to the current version:
```bash
$ git checkout -f v0.24.0
$ git checkout -f v0.25.0
```
4. Use the pre-built Docker images and start up the server:
@@ -208,7 +208,7 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
| RAGFlow image tag | Image size (GB) | Stable? |
| ------------------- | --------------- | ------------------------ |
| v0.24.0 | &approx;2 | Stable release |
| v0.25.0 | &approx;2 | Stable release |
| nightly | &approx;2 | _Unstable_ nightly build |
```mdx-code-block