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https://dev.mysql.com/doc/mysql-shell/9.4/en/mysql-innodb-replicaset.html
You can take advantage of AdminAPI and MySQL Router without creating a new ReplicaSet. For example, the replication account is created and managed by MySQL Shell. The AdminAPI includes support for InnoDB ReplicaSet, which enables you to administer ...
https://dev.mysql.com/doc/mysql-shell/9.4/en/rescan-cluster.html
An InnoDB Cluster that is created using the dba.createCluster() command gets a value generated and set for the system variable on all the member servers. An InnoDB Cluster created before MySQL Shell 8.0.27 might not have the system variable set, but ... If you make configuration changes to a cluster outside of the AdminAPI commands, for example by changing an instance's configuration manually to resolve configuration issues or after the loss of an instance, you need to update the InnoDB Cluster metadata so that it matches the current configuration of ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-automl.html
What's Next Learn more about the following: AutoML Learning Types AutoML Ease of Use AutoML Workflow Learn how to Create a Machine Learning Model. Review Machine Learning Use Cases to create machine learning models with sample datasets. The AutoML ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-ease-of-use.html
You can use a model created by ML_TRAIN with other AutoML routines to generate predictions and explanations. What's Next Learn more about the following: AutoML Supervised Learning AutoML Workflow Oracle AutoML Learn how to Create a Machine Learning ... The AutoML feature of MySQL AI is purpose-built for ease of ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-predictions-ml-predict-row.html
mysql> SET @variable = (JSON_OBJECT("column_name", value, "column_name", value, ...), model_handle, options); In the following example, create the @row_input session variable and enter the data to predict into the session variable. Generating ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-predictions-ml-predict-table.html
When the output table is created, you can query a sample of the table to review predictions. ML_PREDICT_TABLE generates predictions for an entire table of trained data. If ML_PREDICT_TABLE takes a long time to complete, manually limit input tables ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-supported-data-types.html
What's Next Learn more about the following: Additional AutoML Requirements AutoML Privileges Learn how to Create a Machine Learning Model. Review Machine Learning Use Cases to create machine learning models with sample datasets. AutoML has the ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-mysqlai-ml-embed-table.html
If the specified output table doesn't exist, then a new table is created. details_column: specifies a name for the output table column that is created for adding details of errors encountered for rows that aren't processed successfully by the ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-mysqlai-ml-rag.html
The routine uses vector store tables and embedding tables created using the same embedding model for context retrieval. Instead, it uses this embedding for context retrieval from valid vector store and embedding tables that contain vector embeddings ... The ML_RAG routine performs retrieval-augmented generation (RAG) by: Taking a natural-language ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-mysqlai-vector-store-load.html
table_name: specifies the name of the vector store table to create. 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 topic contains ...