[Feature] Column comment (#2038)

### What problem does this PR solve?

Column comment

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

---------

Signed-off-by: Jin Hai <[email protected]>
Co-authored-by: shenyushi <[email protected]>

README.md

@@ -60,7 +60,7 @@ Supports a wide range of data types including strings, numerics, vectors, and mo
 Infinity supports two working modes, embedded mode and client-server mode. Infinity's embedded mode enables you to quickly embed Infinity into your Python applications, without the need to connect to a separate backend server. The following shows how to operate in embedded mode:
 
    ```bash
-   pip install infinity-embedded-sdk==0.4.0.dev3
+   pip install infinity-embedded-sdk==0.4.0.dev4
    ```
 1. Use Infinity to conduct a dense vector search:
    ```python

benchmark/remote_infinity/remote_query_benchmark.cpp

@@ -51,7 +51,7 @@ struct InfinityClient {
         transport->open();
         CommonResponse response;
         ConnectRequest request;
-        request.__set_client_version(20); // 0.4.0-dev3
+        request.__set_client_version(21); // 0.4.0.dev4
         client->Connect(response, request);
         session_id = response.session_id;
     }

client/cpp/infinity_client.cpp

@@ -25,7 +25,7 @@ Client Client::Connect(const std::string &ip_address, uint16_t port) {
     transport->open();
     CommonResponse response;
     ConnectRequest request;
-    request.__set_client_version(20); // 0.4.0.dev3
+    request.__set_client_version(21); // 0.4.0.dev4
     client->Connect(response, request);
     return {socket, transport, protocol, std::move(client), response.session_id};
 }

docs/getstarted/build_from_source.mdx

@@ -260,7 +260,7 @@ cmake --build . -t test_main
 
 2. Install Python sdk of infinity:
    ```bash
-   pip install infinity-sdk==0.4.0.dev3
+   pip install infinity-sdk==0.4.0.dev4
    ```
 
 3. Run the functional tests:
@@ -282,7 +282,7 @@ cmake --build . -t test_main
 
 2. Install Python sdk of infinity:
    ```bash
-   pip install infinity-sdk==0.4.0.dev3
+   pip install infinity-sdk==0.4.0.dev4
    ```
 
 3. Run the functional tests: 
@@ -305,7 +305,7 @@ cmake --build . -t test_main
 
 2. Install Python sdk of infinity:
    ```bash
-   pip install infinity-sdk==0.4.0.dev3
+   pip install infinity-sdk==0.4.0.dev4
    ```
 
 3. Run the functional tests: 

docs/getstarted/deploy_infinity_server.mdx

@@ -30,7 +30,7 @@ This approach allows you to call Infinity as a Python module. To deploy Infinity
 ### Install Infinity as a module
 
 ```
-pip install infinity-embedded-sdk==0.4.0.dev3
+pip install infinity-embedded-sdk==0.4.0.dev4
 ```
 
 ### Create an Infinity object
@@ -98,7 +98,7 @@ If you are on Windows 10+, you must enable WSL or WSL2 to deploy Infinity using
 ### Install Infinity client
 
 ```
-pip install infinity-sdk==0.4.0.dev3
+pip install infinity-sdk==0.4.0.dev4
 ```
 
 ### Connect to Infinity Server and run a dense vector search
@@ -148,7 +148,7 @@ This section provides instructions on deploying Infinity using binary package on
 
 Fedora/RHEL/CentOS/OpenSUSE
 ```bash
-sudo rpm -i infinity-0.4.0.dev3-x86_64.rpm
+sudo rpm -i infinity-0.4.0.dev4-x86_64.rpm
 ```
 
 ```bash
@@ -159,7 +159,7 @@ sudo systemctl start infinity
   <TabItem value="ubuntu">
 
 ```bash
-sudo dpkg -i infinity-0.4.0.dev3-x86_64.deb
+sudo dpkg -i infinity-0.4.0.dev4-x86_64.deb
 ```
 
 ```bash
@@ -172,7 +172,7 @@ sudo systemctl start infinity
 ### Install Infinity client
 
 ```
-pip install infinity-sdk==0.4.0.dev3
+pip install infinity-sdk==0.4.0.dev4
 ```
 
 ### Connect to Infinity Server and run a dense vector search

docs/getstarted/quickstart.md

@@ -19,7 +19,7 @@ If you wish to embed Infinity into your Python application without the need for
 
 1. Install the Infinity-embedded SDK:
    ```bash
-   pip install infinity-embedded-sdk==0.4.0.dev3
+   pip install infinity-embedded-sdk==0.4.0.dev4
    ```
 2. Use Infinity to conduct a dense vector search:
    ```python

docs/references/pysdk_api_reference.md

@@ -37,7 +37,7 @@ The `uri` here can be either a local directory in `str` format or a `NetworkAddr
 
 :::tip IMPORTANT
 - When setting `uri` as `"/absolute/path/to/save/to"`, ensure you:
-  - Install the embedded SDK: `pip install infinity-embedded-sdk==<v0.4.0.dev3_OR_HIGHER>`
+  - Install the embedded SDK: `pip install infinity-embedded-sdk==<v0.4.0.dev4_OR_HIGHER>`
   - Import the `infinity_embedded` module: `import infinity_embedded`.
 - When setting `uri` as `NetworkAddress`, ensure you:
   - Install the Infinity SDK: `pip install infinity==<VERSION>`
@@ -54,7 +54,7 @@ When connecting to Infinity in client-server mode, ensure that the client versio
 | v0.2.0             | v0.2.0             |
 | v0.2.1             | v0.2.1             |
 | v0.3.0             | v0.3.0             |
-| v0.4.0.dev3        | v0.4.0.dev3        |
+| v0.4.0.dev4        | v0.4.0.dev4        |
 
 If the versions do not match, please update your client or server to ensure compatibility.
 
@@ -83,7 +83,7 @@ This allows for bug fixes without requiring changes to the configuration file.
 
 #### Connect to the local directory of Infinity
 
-From v0.4.0.dev3 onwards, Infinity also gives you the option to connect to the Infinity service just like calling a Python module. If you have installed the Infinity client via `pip install infinity-embedded-sdk==<v0.4.0.dev3_OR_HIGHER>`, you can connect to Infinity and save all related data in a local directory:
+From v0.4.0.dev4 onwards, Infinity also gives you the option to connect to the Infinity service just like calling a Python module. If you have installed the Infinity client via `pip install infinity-embedded-sdk==<v0.4.0.dev4_OR_HIGHER>`, you can connect to Infinity and save all related data in a local directory:
 
 ```python
 import infinity_embedded

pyproject.toml

@@ -11,7 +11,7 @@ build-backend = "scikit_build_core.build"
 
 [project]
 name = "infinity_embedded_sdk"
-version = "0.4.0.dev3"
+version = "0.4.0.dev4"
 requires-python = ">=3.10"
 dependencies = [
     "sqlglot~=11.7.0",