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https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-genai-chat-details.html
Viewing Details To view the chat session details, inspect the @chat_options variable: mysql> SELECT JSON_PRETTY(@chat_options); The output includes the following details about a chat session: Vector store tables: in the database which were ... This ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-genai-update-vector-store.html
To specify vector store table to update, set the @options variable: mysql> SET @options = JSON_OBJECT("schema_name", "DBName", "table_name", "VectorStoreTableName", "language", "Language"); Replace the following: DBName: the name of database that ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-mysqlai-ml-explain-row.html
The ML_EXPLAIN_ROW routine generates explanations for one or more rows of unlabeled data. A loaded and trained model with the appropriate prediction explainer is required to run ML_EXPLAIN_ROW. ML_EXPLAIN_ROW does not support recommendation, ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-mysqlai-ml-model-active.html
model_info: The name of the JSON array session variable that contains the active user and model information. Use the ML_MODEL_ACTIVE routine to check which models are loaded and active for which users. All active users and models share the amount ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-mysqlai-ml-model-unload.html
mysql> CALL sys.ML_MODEL_UNLOAD('ml_data.iris_train_user1_1636729526'); An example that specifies a session variable containing the model handle. Note ML_MODEL_UNLOAD does not check whether the model specified is in the model catalog. If it is not, ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-mysqlai-ml-predict-row.html
mysql> SELECT sys.ML_PREDICT_ROW(JSON_OBJECT("output_col_name", schema.`input_col_name`, "output_col_name", schema.`input_col_name`, ...), model_handle, options) FROM input_table_name LIMIT N; model_handle: Define the model handle or a session ...