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execute_sql()execute_sql()AI.*execute_sql()AI.*execute_sql()| Function | Description | Required Reference File to Retrieve |
|---|---|---|
| AI.FORECAST | Time-series forecasting via the pre-trained TimesFM model | |
| AI.CLASSIFY | Categorize unstructured data into predefined labels | |
| AI.DETECT_ANOMALIES | Identify deviations in time-series data via the pre-trained TimesFM model | |
| AI.GENERATE | General-purpose text and content generation | |
| AI.GENERATE_BOOL | Generate a boolean value (TRUE/FALSE) based on a prompt | |
| AI.GENERATE_DOUBLE | Generate a floating-point number based on a prompt | |
| AI.GENERATE_INT | Generate an integer value based on a prompt | |
| AI.IF | Evaluate a natural-language boolean condition | |
| AI.SCORE | Rank items by semantic relevance (use with ORDER BY) | |
| AI.SIMILARITY | Compute cosine similarity between two inputs | |
| AI.SEARCH | Semantic search on tables with autonomous embedding generation | |
| 函数 | 描述 | 需获取的参考文件 |
|---|---|---|
| AI.FORECAST | 通过预训练TimesFM模型进行时间序列预测 | |
| AI.CLASSIFY | 将非结构化数据分类到预定义标签中 | |
| AI.DETECT_ANOMALIES | 通过预训练TimesFM模型识别时间序列数据中的偏差 | |
| AI.GENERATE | 通用文本与内容生成 | |
| AI.GENERATE_BOOL | 根据提示生成布尔值(TRUE/FALSE) | |
| AI.GENERATE_DOUBLE | 根据提示生成浮点数 | |
| AI.GENERATE_INT | 根据提示生成整数 | |
| AI.IF | 评估自然语言布尔条件 | |
| AI.SCORE | 按语义相关性对项目排名(搭配ORDER BY使用) | |
| AI.SIMILARITY | 计算两个输入之间的余弦相似度 | |
| AI.SEARCH | 对表格进行语义搜索并自动生成嵌入向量 | |