Synchronize documentation. (#300)

Co-authored-by: RAGFlow Curator <infinitydocs.curator@users.noreply.github.com>

Author: infinityCurator

website/docs/configurations.md

@@ -99,8 +99,8 @@ RAGFlow utilizes MinIO as its object storage solution, leveraging its scalabilit
 - `RAGFLOW-IMAGE`  
   The Docker image edition. Available editions:  
 
-  - `infiniflow/ragflow:v0.17.2-slim` (default): The RAGFlow Docker image without embedding models.  
-  - `infiniflow/ragflow:v0.17.2`: The RAGFlow Docker image with embedding models including:
+  - `infiniflow/ragflow:v0.18.0-slim` (default): The RAGFlow Docker image without embedding models.  
+  - `infiniflow/ragflow:v0.18.0`: The RAGFlow Docker image with embedding models including:
     - Built-in embedding models:
       - `BAAI/bge-large-zh-v1.5` 
       - `maidalun1020/bce-embedding-base_v1`

website/docs/develop/build_docker_image.mdx

@@ -77,7 +77,7 @@ After building the infiniflow/ragflow:nightly-slim image, you are ready to launc
 
 1. Edit Docker Compose Configuration
 
-Open the `docker/.env` file. Find the `RAGFLOW_IMAGE` setting and change the image reference from `infiniflow/ragflow:v0.17.2-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:v0.18.0-slim` to `infiniflow/ragflow:nightly-slim` to use the pre-built image.
 
 
 2. Launch the Service

website/docs/develop/mcp.md

@@ -116,7 +116,7 @@ ragflow-server  |      / _, _// ___ |/ /_/ // __/  / // /_/ /| |/ |/ /
 ragflow-server  |     /_/ |_|/_/  |_|\____//_/    /_/ \____/ |__/|__/                             
 ragflow-server  | 
 ragflow-server  |     
-ragflow-server  | 2025-04-18 15:41:29,088 INFO     27 RAGFlow version: v0.17.2-285-gb2c299fa full
+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}
@@ -130,7 +130,7 @@ ragflow-server  |   / / / __ `/ ___/ //_/  / __/ | |/_/ _ \/ ___/ / / / __/ __ \
 ragflow-server  |  / / / /_/ (__  ) ,<    / /____>  </  __/ /__/ /_/ / /_/ /_/ / /    
 ragflow-server  | /_/  \__,_/____/_/|_|  /_____/_/|_|\___/\___/\__,_/\__/\____/_/                               
 ragflow-server  |     
-ragflow-server  | 2025-04-18 15:41:34,501 INFO     32 TaskExecutor: RAGFlow version: v0.17.2-285-gb2c299fa full
+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.
 ...
 ```

website/docs/faq.mdx

@@ -75,10 +75,10 @@ We officially support x86 CPU and nvidia GPU. While we also test RAGFlow on ARM6
 
 ### Which embedding models can be deployed locally?
 
-RAGFlow offers two Docker image editions, `v0.17.2-slim` and `v0.17.2`:  
+RAGFlow offers two Docker image editions, `v0.18.0-slim` and `v0.18.0`:  
 
-- `infiniflow/ragflow:v0.17.2-slim` (default): The RAGFlow Docker image without embedding models.  
-- `infiniflow/ragflow:v0.17.2`: The RAGFlow Docker image with embedding models including:
+- `infiniflow/ragflow:v0.18.0-slim` (default): The RAGFlow Docker image without embedding models.  
+- `infiniflow/ragflow:v0.18.0`: The RAGFlow Docker image with embedding models including:
   - Built-in embedding models:
     - `BAAI/bge-large-zh-v1.5`
     - `BAAI/bge-reranker-v2-m3`

website/docs/guides/chat/start_chat.md

@@ -44,7 +44,7 @@ You start an AI conversation by creating an assistant.
      - If **Rerank model** is selected, the hybrid score system uses keyword similarity and reranker score, and the default weight assigned to the reranker score is 1-0.7=0.3.
    - **Variable** refers to the variables (keys) to be used in the system prompt. `{knowledge}` is a reserved variable. Click **Add** to add more variables for the system prompt.
       - If you are uncertain about the logic behind **Variable**, leave it *as-is*.
-      - As of v0.17.2, if you add custom variables here, the only way you can pass in their values is to call:
+      - As of v0.18.0, if you add custom variables here, the only way you can pass in their values is to call:
          - HTTP method [Converse with chat assistant](../../references/http_api_reference.md#converse-with-chat-assistant), or
          - Python method [Converse with chat assistant](../../references/python_api_reference.md#converse-with-chat-assistant).
 

website/docs/guides/dataset/configure_knowledge_base.md

@@ -124,7 +124,7 @@ See [Run retrieval test](./run_retrieval_test.md) for details.
 
 ## Search for knowledge base
 
-As of RAGFlow v0.17.2, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
+As of RAGFlow v0.18.0, the search feature is still in a rudimentary form, supporting only knowledge base search by name.
 
 ![search knowledge base](https://github.com/infiniflow/ragflow/assets/93570324/836ae94c-2438-42be-879e-c7ad2a59693e)
 

website/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 v0.17.2, bulk download is not supported, nor can you download an entire folder. 
+> As of RAGFlow v0.18.0, bulk download is not supported, nor can you download an entire folder. 

website/docs/guides/upgrade_ragflow.mdx

@@ -66,16 +66,16 @@ 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., `v0.17.2`:
+2. Switch to the latest, officially published release, e.g., `v0.18.0`:
 
    ```bash
-   git checkout -f v0.17.2
+   git checkout -f v0.18.0
    ```
 
 3. Update **ragflow/docker/.env** as follows:
 
    ```bash
-   RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2
+   RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0
    ```
 
 4. Update the RAGFlow image and restart RAGFlow:
@@ -92,10 +92,10 @@ To upgrade RAGFlow, you must upgrade **both** your code **and** your Docker imag
 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.v0.17.2.tar infiniflow/ragflow:v0.17.2
+   docker save -o ragflow.v0.18.0.tar infiniflow/ragflow:v0.18.0
    ```
 3. Copy the **.tar** file to the target server.
 4. Load the **.tar** file into Docker:
    ```bash
-   docker load -i ragflow.v0.17.2.tar
+   docker load -i ragflow.v0.18.0.tar
    ```

website/docs/quickstart.mdx

@@ -39,7 +39,7 @@ 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 v0.17.2 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 v0.18.0 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"
@@ -179,13 +179,13 @@ 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 v0.17.2
+   $ git checkout -f v0.18.0
    ```
 
 3. Use the pre-built Docker images and start up the server:
 
    :::tip NOTE
-   The command below downloads the `v0.17.2-slim` edition of the RAGFlow Docker image. Refer to the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.17.2-slim`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server. For example: set `RAGFLOW_IMAGE=infiniflow/ragflow:v0.17.2` for the full edition `v0.17.2`.
+   The command below downloads the `v0.18.0-slim` edition of the RAGFlow Docker image. Refer to the following table for descriptions of different RAGFlow editions. To download a RAGFlow edition different from `v0.18.0-slim`, update the `RAGFLOW_IMAGE` variable accordingly in **docker/.env** before using `docker compose` to start the server. For example: set `RAGFLOW_IMAGE=infiniflow/ragflow:v0.18.0` for the full edition `v0.18.0`.
    :::
 
    ```bash
@@ -202,8 +202,8 @@ This section provides instructions on setting up the RAGFlow server on Linux. If
 
 | RAGFlow image tag   | Image size (GB) | Has embedding models and Python packages? | Stable?                  |
 | ------------------- | --------------- | ----------------------------------------- | ------------------------ |
-| `v0.17.2`           | &approx;9       | :heavy_check_mark:                        | Stable release           |
-| `v0.17.2-slim`      | &approx;2       | ❌                                        | Stable release           |
+| `v0.18.0`           | &approx;9       | :heavy_check_mark:                        | Stable release           |
+| `v0.18.0-slim`      | &approx;2       | ❌                                        | Stable release           |
 | `nightly`           | &approx;9       | :heavy_check_mark:                        | *Unstable* nightly build |
 | `nightly-slim`      | &approx;2       | ❌                                        | *Unstable* nightly build |
 

website/docs/references/http_api_reference.md

@@ -393,7 +393,6 @@ curl --request POST \
   - `"presentation"`: Presentation
   - `"picture"`: Picture
   - `"one"`: One
-  - `"knowledge_graph"`: Knowledge Graph  
     Ensure your LLM is properly configured on the **Settings** page before selecting this. Please also note that Knowledge Graph consumes a large number of Tokens!
   - `"email"`: Email
 
@@ -409,10 +408,6 @@ curl --request POST \
   - If `"chunk_method"` is `"qa"`, `"manuel"`, `"paper"`, `"book"`, `"laws"`, or `"presentation"`, the `"parser_config"` object contains the following attribute:  
     - `"raptor"`: Raptor-specific settings. Defaults to: `{"use_raptor": false}`.
   - If `"chunk_method"` is `"table"`, `"picture"`, `"one"`, or `"email"`, `"parser_config"` is an empty JSON object.
-  - If `"chunk_method"` is `"knowledge_graph"`, the `"parser_config"` object contains the following attributes:  
-    - `"chunk_token_count"`: Defaults to `128`.
-    - `"delimiter"`: Defaults to `"\n"`.
-    - `"entity_types"`: Defaults to `["organization","person","location","event","time"]`
 
 #### Response
 
@@ -573,8 +568,6 @@ curl --request PUT \
   - `"picture"`: Picture
   - `"one"`:One
   - `"email"`: Email
-  - `"knowledge_graph"`: Knowledge Graph  
-    Ensure your LLM is properly configured on the **Settings** page before selecting this. Please also note that Knowledge Graph consumes a large number of Tokens!
 
 #### Response
 
@@ -655,7 +648,7 @@ Success:
             "id": "6e211ee0723611efa10a0242ac120007",
             "language": "English",
             "name": "mysql",
-            "chunk_method": "knowledge_graph",
+            "chunk_method": "naive",
             "parser_config": {
                 "chunk_token_num": 8192,
                 "delimiter": "\\n",
@@ -841,10 +834,6 @@ curl --request PUT \
   - If `"chunk_method"` is `"qa"`, `"manuel"`, `"paper"`, `"book"`, `"laws"`, or `"presentation"`, the `"parser_config"` object contains the following attribute:
     - `"raptor"`: Raptor-specific settings. Defaults to: `{"use_raptor": false}`.
   - If `"chunk_method"` is `"table"`, `"picture"`, `"one"`, or `"email"`, `"parser_config"` is an empty JSON object.
-  - If `"chunk_method"` is `"knowledge_graph"`, the `"parser_config"` object contains the following attributes:
-    - `"chunk_token_count"`: Defaults to `128`.
-    - `"delimiter"`: Defaults to `"\n"`.
-    - `"entity_types"`: Defaults to `["organization","person","location","event","time"]`
 
 #### Response
 

website/docs/references/python_api_reference.md

@@ -145,8 +145,6 @@ The chunking method of the dataset to create. Available options:
 - `"presentation"`: Presentation
 - `"picture"`: Picture
 - `"one"`: One
-- `"knowledge_graph"`: Knowledge Graph  
-  Ensure your LLM is properly configured on the **Settings** page before selecting this. Please also note that Knowledge Graph consumes a large number of Tokens!
 - `"email"`: Email
 
 ##### parser_config
@@ -398,8 +396,6 @@ A dictionary representing the attributes to update, with the following keys:
   - `"presentation"`: Presentation
   - `"picture"`: Picture
   - `"one"`: One
-  - `"knowledge_graph"`: Knowledge Graph  
-    Ensure your LLM is properly configured on the **Settings** page before selecting this. Please also note that Knowledge Graph consumes a large number of Tokens!
   - `"email"`: Email
 - `"parser_config"`: `dict[str, Any]` The parsing configuration for the document. Its attributes vary based on the selected `"chunk_method"`:
   - `"chunk_method"`=`"naive"`:  

website/versioned_docs/version-v0.18.0/_category_.json

@@ -0,0 +1,8 @@
+{
+  "label": "Get Started",
+  "position": 1,
+  "link": {
+    "type": "generated-index",
+    "description": "RAGFlow Quick Start"
+  }
+}