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MySQL AI 9.5 :: 5.9.1 Running GenAI Chat
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-run-chat.html
To delete previous chat output and state, if any, reset the @chat_options variable: mysql> SET @chat_options=NULL; Note Ensure that you use the name @chat_options for the variable. When you run GenAI Chat, it automatically loads the ...
MySQL AI 9.5 :: 6.1.2 The rpd_columns Table
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-rpd-columns-table.html
NULL indicates that the column is not defined as a data placement key. The rpd_columns table provides column encoding information for columns of tables loaded in the MySQL AI Engine. The rpd_columns table has these columns: TABLE_ID A unique ...
MySQL AI 9.5 :: 6.1.3 The rpd_ml_stats Table
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-rpd-ml-stats-table.html
The rpd_ml_stats table tracks the usage of successful MySQL AI routines. The following AutoML routines are tracked: ML_TRAIN ML_EXPLAIN ML_PREDICT_ROW ML_PREDICT_TABLE ML_EXPLAIN_ROW ML_EXPLAIN_TABLE The following GenAI routines are tracked: ...
MySQL AI 9.5 :: 8.2.8 ML_EMBED_TABLE
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-embed-table.html
The input column must not be a part of the primary key and must not have NULL values or empty strings. The ML_EMBED_TABLE routine runs multiple embedding generations in a batch, in parallel. This topic contains the following sections: ...
MySQL AI 9.5 :: 8.1.7 ML_EXPLAIN_ROW
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-explain-row.html
ML_EXPLAIN_ROW Syntax mysql> SELECT sys.ML_EXPLAIN_ROW(input_data, model_handle, [options]); options: { JSON_OBJECT("key","value"[,"key","value"] ...) "key","value": { ['prediction_explainer', {'permutation_importance'|'shap'}|NULL] } } Required ...
MySQL AI 9.5 :: 8.1.8 ML_EXPLAIN_TABLE
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-explain-table.html
ML_EXPLAIN_TABLE Syntax mysql> CALL sys.ML_EXPLAIN_TABLE(table_name, model_handle, output_table_name, [options]); options: { JSON_OBJECT("key","value"[,"key","value"] ...) "key","value": { ['prediction_explainer', ... ML_EXPLAIN_TABLE explains ...