[Cron] Sync and update documentation

website/docs/configurations.md

@@ -35,7 +35,7 @@ docker compose -f docker/docker-compose.yml up -d
   Sets up environment for RAGFlow's dependencies: Elasticsearch/[Infinity](https://github.com/infiniflow/infinity), MySQL, MinIO, and Redis.
 
 :::danger IMPORTANT
-We do not actively maintain **docker-compose-CN-oc9.yml**, **docker-compose-gpu-CN-oc9.yml**, or **docker-compose-gpu.yml**, so use them at your own risk. However, you are welcome to file a pull request to improve any of them.
+We do not actively maintain **docker-compose-CN-oc9.yml**, **docker-compose-macos.yml**, so use them at your own risk. However, you are welcome to file a pull request to improve them.
 :::
 
 ## Docker environment variables
@@ -109,18 +109,23 @@ RAGFlow utilizes MinIO as its object storage solution, leveraging its scalabilit
 :::tip NOTE  
 If you cannot download the RAGFlow Docker image, try the following mirrors.  
 
-- For the `nightly-slim` edition:  
-  - `RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:nightly-slim` or,
-  - `RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:nightly-slim`.
 - For the `nightly` edition:  
   - `RAGFLOW_IMAGE=swr.cn-north-4.myhuaweicloud.com/infiniflow/ragflow:nightly` or,
   - `RAGFLOW_IMAGE=registry.cn-hangzhou.aliyuncs.com/infiniflow/ragflow:nightly`.
 :::
 
+### Embedding service
+
+- `TEI_MODEL`  
+  The embedding model which text-embeddings-inference serves. Allowed values are one of `Qwen/Qwen3-Embedding-0.6B`(default), `BAAI/bge-m3`, and `BAAI/bge-small-en-v1.5`.
+
+- `TEI_PORT`  
+  The port used to expose the text-embeddings-inference service to the host machine, allowing **external** access to the text-embeddings-inference service running inside the Docker container. Defaults to `6380`.
+
 ### Timezone
 
-- `TIMEZONE`  
-  The local time zone. Defaults to `'Asia/Shanghai'`.
+- `TZ`  
+  The local time zone. Defaults to `Asia/Shanghai`.
 
 ### Hugging Face mirror site
 

website/docs/develop/build_docker_image.mdx

@@ -39,25 +39,6 @@ This image is approximately 2 GB in size and relies on external LLM and embeddin
 - For ARM64 platforms, please upgrade the `xgboost` version in **pyproject.toml** to `1.6.0` and ensure **unixODBC** is properly installed.
 :::
 
-```bash
-git clone https://github.com/infiniflow/ragflow.git
-cd ragflow/
-uv run download_deps.py
-docker build -f Dockerfile.deps -t infiniflow/ragflow_deps .
-docker build --build-arg LIGHTEN=1 -f Dockerfile -t infiniflow/ragflow:nightly-slim .
-```
-
-
-  </TabItem>
-  <TabItem value="including">
-
-This image is approximately 9 GB in size. As it includes embedding models, it relies on external LLM services only.  
-
-:::danger IMPORTANT
-- While we also test RAGFlow on ARM64 platforms, we do not maintain RAGFlow Docker images for ARM. However, you can build an image yourself on a `linux/arm64` or `darwin/arm64` host machine as well.
-- For ARM64 platforms, please upgrade the `xgboost` version in **pyproject.toml** to `1.6.0` and ensure **unixODBC** is properly installed.
-:::
-
 ```bash
 git clone https://github.com/infiniflow/ragflow.git
 cd ragflow/
@@ -66,18 +47,19 @@ docker build -f Dockerfile.deps -t infiniflow/ragflow_deps .
 docker build -f Dockerfile -t infiniflow/ragflow:nightly .
 ```
 
+
   </TabItem>
 </Tabs>
 
 ## Launch a RAGFlow Service from Docker for MacOS
 
-After building the infiniflow/ragflow:nightly-slim image, you are ready to launch a fully-functional RAGFlow service with all the required components, such as Elasticsearch, MySQL, MinIO, Redis, and more.
+After building the infiniflow/ragflow:nightly image, you are ready to launch a fully-functional RAGFlow service with all the required components, such as Elasticsearch, MySQL, MinIO, Redis, and more.
 
 ## Example: Apple M2 Pro (Sequoia)
 
 1. Edit Docker Compose Configuration
 
-Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.21.1-slim` to `infiniflow/ragflow:nightly-slim` to use the pre-built image.
+Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.21.1` to `infiniflow/ragflow:nightly` to use the pre-built image.
 
 
 2. Launch the Service

website/docs/develop/launch_ragflow_from_source.md

@@ -48,7 +48,7 @@ cd ragflow/
    ```
    - full:
    ```bash
-   uv sync --python 3.10 --all-extras # install RAGFlow dependent python modules
+   uv sync --python 3.10 # install RAGFlow dependent python modules
    ```
    *A virtual environment named `.venv` is created, and all Python dependencies are installed into the new environment.*
 

website/docs/develop/mcp/launch_mcp_server.md

@@ -116,51 +116,51 @@ Run `docker compose -f docker-compose.yml up` to launch the RAGFlow server toget
 *The following ASCII art confirms a successful launch:*
 
 ```bash
-  ragflow-server  | Starting MCP Server on 0.0.0.0:9382 with base URL http://127.0.0.1:9380...
-  ragflow-server  | Starting 1 task executor(s) on host 'dd0b5e07e76f'...
-  ragflow-server  | 2025-04-18 15:41:18,816 INFO     27 ragflow_server log path: /ragflow/logs/ragflow_server.log, log levels: {'peewee': 'WARNING', 'pdfminer': 'WARNING', 'root': 'INFO'}
-  ragflow-server  | 
-  ragflow-server  | __  __  ____ ____       ____  _____ ______     _______ ____
-  ragflow-server  | |  \/  |/ ___|  _ \     / ___|| ____|  _ \ \   / / ____|  _ \
-  ragflow-server  | | |\/| | |   | |_) |    \___ \|  _| | |_) \ \ / /|  _| | |_) |
-  ragflow-server  | | |  | | |___|  __/      ___) | |___|  _ < \ V / | |___|  _ <
-  ragflow-server  | |_|  |_|\____|_|        |____/|_____|_| \_\ \_/  |_____|_| \_\
-  ragflow-server  |     
-  ragflow-server  | MCP launch mode: self-host
-  ragflow-server  | MCP host: 0.0.0.0
-  ragflow-server  | MCP port: 9382
-  ragflow-server  | MCP base_url: http://127.0.0.1:9380
-  ragflow-server  | INFO:     Started server process [26]
-  ragflow-server  | INFO:     Waiting for application startup.
-  ragflow-server  | INFO:     Application startup complete.
-  ragflow-server  | INFO:     Uvicorn running on http://0.0.0.0:9382 (Press CTRL+C to quit)
-  ragflow-server  | 2025-04-18 15:41:20,469 INFO     27 found 0 gpus
-  ragflow-server  | 2025-04-18 15:41:23,263 INFO     27 init database on cluster mode successfully
-  ragflow-server  | 2025-04-18 15:41:25,318 INFO     27 load_model /ragflow/rag/res/deepdoc/det.onnx uses CPU
-  ragflow-server  | 2025-04-18 15:41:25,367 INFO     27 load_model /ragflow/rag/res/deepdoc/rec.onnx uses CPU
-  ragflow-server  |         ____   ___    ______ ______ __               
-  ragflow-server  |        / __ \ /   |  / ____// ____// /____  _      __
-  ragflow-server  |       / /_/ // /| | / / __ / /_   / // __ \| | /| / /
-  ragflow-server  |      / _, _// ___ |/ /_/ // __/  / // /_/ /| |/ |/ / 
-  ragflow-server  |     /_/ |_|/_/  |_|\____//_/    /_/ \____/ |__/|__/                             
-  ragflow-server  | 
-  ragflow-server  |     
-  ragflow-server  | 2025-04-18 15:41:29,088 INFO     27 RAGFlow version: v0.18.0-285-gb2c299fa full
-  ragflow-server  | 2025-04-18 15:41:29,088 INFO     27 project base: /ragflow
-  ragflow-server  | 2025-04-18 15:41:29,088 INFO     27 Current configs, from /ragflow/conf/service_conf.yaml:
-  ragflow-server  |  ragflow: {'host': '0.0.0.0', 'http_port': 9380}
+  docker-ragflow-cpu-1  | Starting MCP Server on 0.0.0.0:9382 with base URL http://127.0.0.1:9380...
+  docker-ragflow-cpu-1  | Starting 1 task executor(s) on host 'dd0b5e07e76f'...
+  docker-ragflow-cpu-1  | 2025-04-18 15:41:18,816 INFO     27 ragflow_server log path: /ragflow/logs/ragflow_server.log, log levels: {'peewee': 'WARNING', 'pdfminer': 'WARNING', 'root': 'INFO'}
+  docker-ragflow-cpu-1  | 
+  docker-ragflow-cpu-1  | __  __  ____ ____       ____  _____ ______     _______ ____
+  docker-ragflow-cpu-1  | |  \/  |/ ___|  _ \     / ___|| ____|  _ \ \   / / ____|  _ \
+  docker-ragflow-cpu-1  | | |\/| | |   | |_) |    \___ \|  _| | |_) \ \ / /|  _| | |_) |
+  docker-ragflow-cpu-1  | | |  | | |___|  __/      ___) | |___|  _ < \ V / | |___|  _ <
+  docker-ragflow-cpu-1  | |_|  |_|\____|_|        |____/|_____|_| \_\ \_/  |_____|_| \_\
+  docker-ragflow-cpu-1  |     
+  docker-ragflow-cpu-1  | MCP launch mode: self-host
+  docker-ragflow-cpu-1  | MCP host: 0.0.0.0
+  docker-ragflow-cpu-1  | MCP port: 9382
+  docker-ragflow-cpu-1  | MCP base_url: http://127.0.0.1:9380
+  docker-ragflow-cpu-1  | INFO:     Started server process [26]
+  docker-ragflow-cpu-1  | INFO:     Waiting for application startup.
+  docker-ragflow-cpu-1  | INFO:     Application startup complete.
+  docker-ragflow-cpu-1  | INFO:     Uvicorn running on http://0.0.0.0:9382 (Press CTRL+C to quit)
+  docker-ragflow-cpu-1  | 2025-04-18 15:41:20,469 INFO     27 found 0 gpus
+  docker-ragflow-cpu-1  | 2025-04-18 15:41:23,263 INFO     27 init database on cluster mode successfully
+  docker-ragflow-cpu-1  | 2025-04-18 15:41:25,318 INFO     27 load_model /ragflow/rag/res/deepdoc/det.onnx uses CPU
+  docker-ragflow-cpu-1  | 2025-04-18 15:41:25,367 INFO     27 load_model /ragflow/rag/res/deepdoc/rec.onnx uses CPU
+  docker-ragflow-cpu-1  |         ____   ___    ______ ______ __               
+  docker-ragflow-cpu-1  |        / __ \ /   |  / ____// ____// /____  _      __
+  docker-ragflow-cpu-1  |       / /_/ // /| | / / __ / /_   / // __ \| | /| / /
+  docker-ragflow-cpu-1  |      / _, _// ___ |/ /_/ // __/  / // /_/ /| |/ |/ / 
+  docker-ragflow-cpu-1  |     /_/ |_|/_/  |_|\____//_/    /_/ \____/ |__/|__/                             
+  docker-ragflow-cpu-1  | 
+  docker-ragflow-cpu-1  |     
+  docker-ragflow-cpu-1  | 2025-04-18 15:41:29,088 INFO     27 RAGFlow version: v0.18.0-285-gb2c299fa full
+  docker-ragflow-cpu-1  | 2025-04-18 15:41:29,088 INFO     27 project base: /ragflow
+  docker-ragflow-cpu-1  | 2025-04-18 15:41:29,088 INFO     27 Current configs, from /ragflow/conf/service_conf.yaml:
+  docker-ragflow-cpu-1  |  ragflow: {'host': '0.0.0.0', 'http_port': 9380}
   ...
-  ragflow-server  |  * Running on all addresses (0.0.0.0)
-  ragflow-server  |  * Running on http://127.0.0.1:9380
-  ragflow-server  |  * Running on http://172.19.0.6:9380
-  ragflow-server  |   ______           __      ______                     __            
-  ragflow-server  |  /_  __/___ ______/ /__   / ____/  _____  _______  __/ /_____  _____
-  ragflow-server  |   / / / __ `/ ___/ //_/  / __/ | |/_/ _ \/ ___/ / / / __/ __ \/ ___/
-  ragflow-server  |  / / / /_/ (__  ) ,<    / /____>  </  __/ /__/ /_/ / /_/ /_/ / /    
-  ragflow-server  | /_/  \__,_/____/_/|_|  /_____/_/|_|\___/\___/\__,_/\__/\____/_/                               
-  ragflow-server  |     
-  ragflow-server  | 2025-04-18 15:41:34,501 INFO     32 TaskExecutor: RAGFlow version: v0.18.0-285-gb2c299fa full
-  ragflow-server  | 2025-04-18 15:41:34,501 INFO     32 Use Elasticsearch http://es01:9200 as the doc engine.
+  docker-ragflow-cpu-1  |  * Running on all addresses (0.0.0.0)
+  docker-ragflow-cpu-1  |  * Running on http://127.0.0.1:9380
+  docker-ragflow-cpu-1  |  * Running on http://172.19.0.6:9380
+  docker-ragflow-cpu-1  |   ______           __      ______                     __            
+  docker-ragflow-cpu-1  |  /_  __/___ ______/ /__   / ____/  _____  _______  __/ /_____  _____
+  docker-ragflow-cpu-1  |   / / / __ `/ ___/ //_/  / __/ | |/_/ _ \/ ___/ / / / __/ __ \/ ___/
+  docker-ragflow-cpu-1  |  / / / /_/ (__  ) ,<    / /____>  </  __/ /__/ /_/ / /_/ /_/ / /    
+  docker-ragflow-cpu-1  | /_/  \__,_/____/_/|_|  /_____/_/|_|\___/\___/\__,_/\__/\____/_/                               
+  docker-ragflow-cpu-1  |     
+  docker-ragflow-cpu-1  | 2025-04-18 15:41:34,501 INFO     32 TaskExecutor: RAGFlow version: v0.18.0-285-gb2c299fa full
+  docker-ragflow-cpu-1  | 2025-04-18 15:41:34,501 INFO     32 Use Elasticsearch http://es01:9200 as the doc engine.
   ...
 ```
 
@@ -176,7 +176,7 @@ This section is contributed by our community contributor [yiminghub2024](https:/
    iii. Copy [docker/entrypoint.sh](https://github.com/infiniflow/ragflow/blob/main/docker/entrypoint.sh) locally.  
    iv. Install the required dependencies using `uv`:  
        - Run `uv add mcp` or
-       - Copy [pyproject.toml](https://github.com/infiniflow/ragflow/blob/main/pyproject.toml) locally and run `uv sync --python 3.10 --all-extras`.
+       - Copy [pyproject.toml](https://github.com/infiniflow/ragflow/blob/main/pyproject.toml) locally and run `uv sync --python 3.10`.
 2. Edit **docker-compose.yml** to enable MCP (disabled by default).
 3. Launch the MCP server:
 
@@ -189,7 +189,7 @@ docker compose -f docker-compose.yml up -d
 Run the following to check the logs the RAGFlow server and the MCP server:
 
 ```bash
-docker logs ragflow-server
+docker logs docker-ragflow-cpu-1
 ```
 
 ## Security considerations

website/docs/develop/mcp/mcp_client_example.md

@@ -99,7 +99,7 @@ _The server replies with an `initialize` response, including the supported proto
 
 ```bash
 event: message
-data: {"jsonrpc":"2.0","id":1,"result":{"protocolVersion":"2025-03-26","capabilities":{"experimental":{"headers":{"host":"127.0.0.1:9382","user-agent":"curl/8.7.1","accept":"*/*","api_key":"ragflow-xxxxxxxxxxxx","accept-encoding":"gzip"}},"tools":{"listChanged":false}},"serverInfo":{"name":"ragflow-server","version":"1.9.4"}}}
+data: {"jsonrpc":"2.0","id":1,"result":{"protocolVersion":"2025-03-26","capabilities":{"experimental":{"headers":{"host":"127.0.0.1:9382","user-agent":"curl/8.7.1","accept":"*/*","api_key":"ragflow-xxxxxxxxxxxx","accept-encoding":"gzip"}},"tools":{"listChanged":false}},"serverInfo":{"name":"docker-ragflow-cpu-1","version":"1.9.4"}}}
 ```
 
 ### 3. Acknowledge readiness

website/docs/faq.mdx

@@ -33,6 +33,8 @@ Each RAGFlow release is available in two editions:
 - **Slim edition**: excludes built-in embedding models and is identified by a **-slim** suffix added to the version name. Example: `infiniflow/ragflow:v0.21.1-slim`
 - **Full edition**: includes built-in embedding models and has no suffix added to the version name. Example: `infiniflow/ragflow:v0.21.1`
 
+Note: Starting with `v0.22.0`, we ship only the slim edition and no longer append the **-slim** suffix to the image tag.
+
 ---
 
 ### Which embedding models can be deployed locally?
@@ -44,6 +46,8 @@ RAGFlow offers two Docker image editions, `v0.21.1-slim` and `v0.21.1`:
   - `BAAI/bge-large-zh-v1.5`
   - `maidalun1020/bce-embedding-base_v1`
 
+Note: Starting with `v0.22.0`, we ship only the slim edition and no longer append the **-slim** suffix to the image tag.
+
 ---
 
 ### Where to find the version of RAGFlow? How to interpret it?
@@ -220,7 +224,7 @@ Ignore this warning and continue. All system warnings can be ignored.
 
 ![anomaly](https://github.com/infiniflow/ragflow/assets/93570324/beb7ad10-92e4-4a58-8886-bfb7cbd09e5d)
 
-You will not log in to RAGFlow unless the server is fully initialized. Run `docker logs -f ragflow-server`.
+You will not log in to RAGFlow unless the server is fully initialized. Run `docker logs -f docker-ragflow-cpu-1`.
 
 *The server is successfully initialized, if your system displays the following:*
 
@@ -256,7 +260,7 @@ Click the red cross beside the 'parsing status' bar, then restart the parsing pr
 1. Check the log of your RAGFlow server to see if it is running properly:
 
    ```bash
-   docker logs -f ragflow-server
+   docker logs -f docker-ragflow-cpu-1
    ```
 
 2. Check if the **task_executor.py** process exists.
@@ -310,7 +314,7 @@ tail -f ragflow/docker/ragflow-logs/*.log
    *The following is an example result:*
 
    ```bash
-   5bc45806b680   infiniflow/ragflow:latest     "./entrypoint.sh"        11 hours ago   Up 11 hours               0.0.0.0:80->80/tcp, :::80->80/tcp, 0.0.0.0:443->443/tcp, :::443->443/tcp, 0.0.0.0:9380->9380/tcp, :::9380->9380/tcp   ragflow-server
+   5bc45806b680   infiniflow/ragflow:latest     "./entrypoint.sh"        11 hours ago   Up 11 hours               0.0.0.0:80->80/tcp, :::80->80/tcp, 0.0.0.0:443->443/tcp, :::443->443/tcp, 0.0.0.0:9380->9380/tcp, :::9380->9380/tcp   docker-ragflow-cpu-1
    91220e3285dd   docker.elastic.co/elasticsearch/elasticsearch:8.11.3   "/bin/tini -- /usr/l…"   11 hours ago   Up 11 hours (healthy)     9300/tcp, 0.0.0.0:9200->9200/tcp, :::9200->9200/tcp           ragflow-es-01
    d8c86f06c56b   mysql:5.7.18        "docker-entrypoint.s…"   7 days ago     Up 16 seconds (healthy)   0.0.0.0:3306->3306/tcp, :::3306->3306/tcp     ragflow-mysql
    cd29bcb254bc   quay.io/minio/minio:RELEASE.2023-12-20T01-00-02Z       "/usr/bin/docker-ent…"   2 weeks ago    Up 11 hours      0.0.0.0:9001->9001/tcp, :::9001->9001/tcp, 0.0.0.0:9000->9000/tcp, :::9000->9000/tcp     ragflow-minio

website/docs/guides/agent/agent_component_reference/retrieval.mdx

@@ -47,7 +47,7 @@ By default, a combination of weighted keyword similarity and weighted vector cos
 As a starter, you can skip this step to stay with the default retrieval method.
 
 :::caution WARNING
-Using a rerank model will *significantly* increase the system's response time. If you must use a rerank model, ensure you use a SaaS reranker; if you prefer a locally deployed rerank model, ensure you start RAGFlow with **docker-compose-gpu.yml**.
+Using a rerank model will *significantly* increase the system's response time.
 :::
 
 ### 5. Enable cross-language search
@@ -140,6 +140,5 @@ The global variable name for the output of the **Retrieval** component, which ca
 
 Go through the checklist below for best performance:
 
-- Leave the **Rerank model** field empty.
-- If you must use a rerank model, ensure you use a SaaS reranker; if you prefer a locally deployed rerank model, ensure you start RAGFlow with **docker-compose-gpu.yml**.
+- Leave the **Rerank model** field empty to disable rerank.
 - Disable **Use knowledge graph**.

website/docs/guides/models/deploy_local_llm.mdx

@@ -62,7 +62,7 @@ $ sudo docker exec ollama ollama pull bge-m3
 
 - If RAGFlow runs in Docker, the localhost is mapped within the RAGFlow Docker container as `host.docker.internal`. If Ollama runs on the same host machine, the right URL to use for Ollama would be `http://host.docker.internal:11434/' and you should check that Ollama is accessible from inside the RAGFlow container with:
 ```bash
-$ sudo docker exec -it ragflow-server bash
+$ sudo docker exec -it docker-ragflow-cpu-1 bash
 $ curl http://host.docker.internal:11434/
 > Ollama is running
 ```

website/docs/guides/upgrade_ragflow.mdx

@@ -7,15 +7,15 @@ slug: /upgrade_ragflow
 import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 
-Upgrade RAGFlow to `nightly-slim`/`nightly` or the latest, published release.
+Upgrade RAGFlow to `nightly` or the latest, published release.
 
 :::info NOTE
 Upgrading RAGFlow in itself will *not* remove your uploaded/historical data. However, be aware that `docker compose -f docker/docker-compose.yml down -v` will remove Docker container volumes, resulting in data loss.
 :::
 
-## Upgrade RAGFlow to `nightly-slim`/`nightly`, the most recent, tested Docker image
+## Upgrade RAGFlow to `nightly`, the most recent, tested Docker image
 
-`nightly-slim` refers to the RAGFlow Docker image *without* embedding models, while `nightly` refers to the RAGFlow Docker image with embedding models. For details on their differences, see [ragflow/docker/.env](https://github.com/infiniflow/ragflow/blob/main/docker/.env).
+`nightly` refers to the RAGFlow Docker image without embedding models.
 
 To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker image:
 
@@ -27,27 +27,9 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
 
 2. Update **ragflow/docker/.env**:
 
-<Tabs
-  defaultValue="nightly-slim"
-  values={[
-    {label: 'nightly-slim', value: 'nightly-slim'},
-    {label: 'nightly', value: 'nightly'},
-  ]}>
-  <TabItem value="nightly-slim">
-
-```bash
-RAGFLOW_IMAGE=infiniflow/ragflow:nightly-slim
-```
-
-  </TabItem>
-  <TabItem value="nightly">
-
-```bash
-RAGFLOW_IMAGE=infiniflow/ragflow:nightly
-```
-
-  </TabItem>
-</Tabs>
+   ```bash
+   RAGFLOW_IMAGE=infiniflow/ragflow:nightly
+   ```
 
 3. Update RAGFlow image and restart RAGFlow:
 
@@ -74,27 +56,9 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
 
 3. Update **ragflow/docker/.env**:
 
-<Tabs
-  defaultValue="slim"
-  values={[
-    {label: 'slim', value: 'slim'},
-    {label: 'full', value: 'full'},
-  ]}>
-  <TabItem value="slim">
-
-```bash
-RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1-slim
-```
-
-  </TabItem>
-  <TabItem value="full">
-
-```bash
-RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1
-```
-
-  </TabItem>
-</Tabs>
+   ```bash
+   RAGFLOW_IMAGE=infiniflow/ragflow:v0.21.1
+   ```
 
 4. Update the RAGFlow image and restart RAGFlow: