add version

Author: leto-bbq

src/UserGuide/Master/Table/AI-capability/AINode_apache.md

@@ -23,6 +23,8 @@
 
 AINode is a native IoTDB node that supports the registration, management, and invocation of time-series-related models. It comes with built-in industry-leading self-developed time-series large models, such as the Timer series developed by Tsinghua University. These models can be invoked through standard SQL statements, enabling real-time inference of time series data at the millisecond level, and supporting application scenarios such as trend forecasting, missing value imputation, and anomaly detection for time series data.
 
+> Available since V2.0.5
+
 The system architecture is shown below:
 ::: center
 <img src="/img/AINode-0-en.png" style="zoom:50 percent" />

src/UserGuide/Master/Table/AI-capability/AINode_timecho.md

@@ -23,6 +23,8 @@
 
 AINode is a native IoTDB node that supports the registration, management, and invocation of time-series-related models. It comes with built-in industry-leading self-developed time-series large models, such as the Timer series developed by Tsinghua University. These models can be invoked through standard SQL statements, enabling real-time inference of time series data at the millisecond level, and supporting application scenarios such as trend forecasting, missing value imputation, and anomaly detection for time series data.
 
+> Available since V2.0.5.1
+
 The system architecture is shown below:
 ::: center
 <img src="/img/AINode-0-en.png" style="zoom:50 percent" />

src/UserGuide/Master/Tree/AI-capability/AINode_apache.md

@@ -23,6 +23,8 @@
 
 AINode is a native IoTDB node that supports the registration, management, and invocation of time-series-related models. It comes with built-in industry-leading self-developed time-series large models, such as the Timer series developed by Tsinghua University. These models can be invoked through standard SQL statements, enabling real-time inference of time series data at the millisecond level, and supporting application scenarios such as trend forecasting, missing value imputation, and anomaly detection for time series data.
 
+> Available since V2.0.5
+
 The system architecture is shown below:
 ::: center
 <img src="/img/AINode-0-en.png" style="zoom:50 percent" />

src/UserGuide/Master/Tree/AI-capability/AINode_timecho.md

@@ -23,6 +23,8 @@
 
 AINode is a native IoTDB node that supports the registration, management, and invocation of time-series-related models. It comes with built-in industry-leading self-developed time-series large models, such as the Timer series developed by Tsinghua University. These models can be invoked through standard SQL statements, enabling real-time inference of time series data at the millisecond level, and supporting application scenarios such as trend forecasting, missing value imputation, and anomaly detection for time series data.
 
+> Available since V2.0.5.1
+
 The system architecture is shown below:
 ::: center
 <img src="/img/AINode-0-en.png" style="zoom:50 percent" />

src/UserGuide/latest-Table/AI-capability/AINode_apache.md

@@ -23,6 +23,8 @@
 
 AINode is a native IoTDB node that supports the registration, management, and invocation of time-series-related models. It comes with built-in industry-leading self-developed time-series large models, such as the Timer series developed by Tsinghua University. These models can be invoked through standard SQL statements, enabling real-time inference of time series data at the millisecond level, and supporting application scenarios such as trend forecasting, missing value imputation, and anomaly detection for time series data.
 
+> Available since V2.0.5
+
 The system architecture is shown below:
 ::: center
 <img src="/img/AINode-0-en.png" style="zoom:50 percent" />

src/UserGuide/latest-Table/AI-capability/AINode_timecho.md

@@ -23,6 +23,8 @@
 
 AINode is a native IoTDB node that supports the registration, management, and invocation of time-series-related models. It comes with built-in industry-leading self-developed time-series large models, such as the Timer series developed by Tsinghua University. These models can be invoked through standard SQL statements, enabling real-time inference of time series data at the millisecond level, and supporting application scenarios such as trend forecasting, missing value imputation, and anomaly detection for time series data.
 
+> Available since V2.0.5.1
+
 The system architecture is shown below:
 ::: center
 <img src="/img/AINode-0-en.png" style="zoom:50 percent" />

src/UserGuide/latest/AI-capability/AINode_apache.md

@@ -23,6 +23,8 @@
 
 AINode is a native IoTDB node that supports the registration, management, and invocation of time-series-related models. It comes with built-in industry-leading self-developed time-series large models, such as the Timer series developed by Tsinghua University. These models can be invoked through standard SQL statements, enabling real-time inference of time series data at the millisecond level, and supporting application scenarios such as trend forecasting, missing value imputation, and anomaly detection for time series data.
 
+> Available since V2.0.5
+
 The system architecture is shown below:
 ::: center
 <img src="/img/AINode-0-en.png" style="zoom:50 percent" />

src/UserGuide/latest/AI-capability/AINode_timecho.md

@@ -23,6 +23,8 @@
 
 AINode is a native IoTDB node that supports the registration, management, and invocation of time-series-related models. It comes with built-in industry-leading self-developed time-series large models, such as the Timer series developed by Tsinghua University. These models can be invoked through standard SQL statements, enabling real-time inference of time series data at the millisecond level, and supporting application scenarios such as trend forecasting, missing value imputation, and anomaly detection for time series data.
 
+> Available since V2.0.5.1
+
 The system architecture is shown below:
 ::: center
 <img src="/img/AINode-0-en.png" style="zoom:50 percent" />

src/zh/UserGuide/Master/Table/AI-capability/AINode_apache.md

@@ -23,6 +23,8 @@
 
 AINode 是支持时序相关模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如清华自研时序模型 Timer 系列，可通过标准 SQL 语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
 
+> V2.0.5及以后版本支持
+
 系统架构如下图所示：
 
 ![](/img/AINode-0.png)

src/zh/UserGuide/Master/Table/AI-capability/AINode_timecho.md

@@ -23,6 +23,8 @@
 
 AINode 是支持时序相关模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如清华自研时序模型 Timer 系列，可通过标准 SQL 语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
 
+> V2.0.5.1及以后版本支持
+
 系统架构如下图所示：
 
 ![](/img/AINode-0.png)