Docs: Update version references to v0.23.0 in READMEs and docs (#12253)

### What problem does this PR solve?

- Update version tags in README files (including translations) from
v0.22.1 to v0.23.0
- 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

Co-authored-by: Jin Hai <haijin.chn@gmail.com>

docs/configurations.md

@@ -99,7 +99,7 @@ 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:v0.22.1` (the RAGFlow Docker image without embedding models).
+  The Docker image edition. Defaults to `infiniflow/ragflow:v0.23.0` (the RAGFlow Docker image without embedding models).
 
 :::tip NOTE
 If you cannot download the RAGFlow Docker image, try the following mirrors.

docs/develop/build_docker_image.mdx

@@ -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:v0.22.1` 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:v0.23.0` to `infiniflow/ragflow:nightly` to use the pre-built image.
 
 
 2. Launch the Service

docs/guides/dataset/configure_knowledge_base.md

@@ -133,7 +133,7 @@ See [Run retrieval test](./run_retrieval_test.md) for details.
 
 ## Search for dataset
 
-As of RAGFlow v0.22.1, the search feature is still in a rudimentary form, supporting only dataset search by name.
+As of RAGFlow v0.23.0, 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)
 

docs/guides/manage_files.md

@@ -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 v0.22.1, bulk download is not supported, nor can you download an entire folder. 
+> As of RAGFlow v0.23.0, bulk download is not supported, nor can you download an entire folder. 

docs/guides/manage_users_and_services.md

@@ -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==0.22.1
+   pip install ragflow-cli==0.23.0
    ```
 
 3. Launch the CLI client:

docs/guides/upgrade_ragflow.mdx

@@ -60,16 +60,16 @@ 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., `v0.22.1`:
+3. Switch to the latest, officially published release, e.g., `v0.23.0`:
 
    ```bash
-   git checkout -f v0.22.1
+   git checkout -f v0.23.0
    ```
 
 4. Update **ragflow/docker/.env**:
 
    ```bash
-   RAGFLOW_IMAGE=infiniflow/ragflow:v0.22.1
+   RAGFLOW_IMAGE=infiniflow/ragflow:v0.23.0
    ```
 
 5. Update the RAGFlow image and restart RAGFlow:
@@ -90,10 +90,10 @@ 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.v0.22.1.tar infiniflow/ragflow:v0.22.1
+   docker save -o ragflow.v0.23.0.tar infiniflow/ragflow:v0.23.0
    ```
 3. Copy the **.tar** file to the target server.
 4. Load the **.tar** file into Docker:
    ```bash
-   docker load -i ragflow.v0.22.1.tar
+   docker load -i ragflow.v0.23.0.tar
    ```

docs/quickstart.mdx

@@ -46,7 +46,7 @@ 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 v0.22.1 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.
+   RAGFlow v0.23.0 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"
@@ -186,7 +186,7 @@ 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 v0.22.1
+   $ git checkout -f v0.23.0
    ```
 
 3. Use the pre-built Docker images and start up the server:
@@ -202,7 +202,7 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
 
    | RAGFlow image tag   | Image size (GB) | Stable?                  |
    | ------------------- | --------------- | ------------------------ |
-   | v0.22.1             | &approx;2       | Stable release           |
+   | v0.23.0             | &approx;2       | Stable release           |
    | nightly             | &approx;2       | _Unstable_ nightly build |
 
    ```mdx-code-block