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https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-aml-using-an-anomaly-detection-model.html
Requirements for Generating Predictions If you run ML_PREDICT_TABLE with the log_anomaly_detection task, at least one column must act as the primary key to establish the temporal order of logs. To generate predictions, use the sample data from the ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-generate-content.html
The following sections in this topic describe how to generate new text-based content using the GenAI feature of MySQL AI: Before You Begin Generating Content Running Batch Queries What's Next Before You Begin Review the GenAI requirements and ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-vector-store-load.html
This section describes how to generate vector embeddings for files or folders, and load the embeddings into a vector store table. The following sections in this topic describe how to ingest files into a vector store: Before You Begin Ingesting ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-embed-row.html
This topic contains the following sections: ML_EMBED_ROW Syntax Syntax Examples See Also ML_EMBED_ROW Syntax mysql> SELECT sys.ML_EMBED_ROW('Text'[, options]); options: JSON_OBJECT(keyvalue[, keyvalue] ...) keyvalue: { 'model_id', {'ModelID'} ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-generate.html
The ML_GENERATE routine uses the specified large language model (LLM) to generate text-based content as a response for the given natural-language query. It can include the following parameters: task: specifies the task expected from the LLM.
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-nl-sql.html
The routine also runs the generated SQL statement and displays the result set. You can use this routine for generating and running SQL queries only for databases and tables that you have access to. The routine automatically detects these errors, and ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-vector-store-load.html
The VECTOR_STORE_LOAD routine generates vector embedding for the specified files or folders that are , and loads the embeddings into a new vector store table. This routine creates an asynchronous task which loads vector store tables in the ...