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https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-generate-embeddings.html
This section describes how to generate vector embeddings using the ML_EMBED_ROW routine. Vector embeddings are a numerical representation of the text that capture the semantics of the data and relationships to other data. You can pass the text ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-update-vector-store.html
To keep up with the changes and updates in the documents in your local directory, you must update the vector embeddings loaded in the vector store table on a regular basis. The examples in this topic use the vector store table demo_embeddings ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-embed-row.html
The ML_EMBED_ROW routine uses the specified embedding model to encode the specified text or query into a vector embedding. The routine returns a VECTOR that contains a numerical representation of the specified text. This topic contains the ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-explain.html
Running the ML_EXPLAIN routine on a model and dataset trains a prediction explainer and model explainer, and adds a model explanation to the model catalog. See Generate Model Explanations and Generate Prediction Explanations to learn more.
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-model-active.html
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 of memory defined by the shape, and it might be necessary to schedule users. ML_MODEL_ACTIVE Syntax mysql> ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-model-import.html
Use the ML_MODEL_IMPORT routine to import a pre-trained model into your model catalog. To learn how to use ML_MODEL_IMPORT to share models, see Grant Other Users Access to a Model. ML_MODEL_IMPORT Overview MySQL AI supports the import of AutoML and ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-score.html
ML_SCORE scores a model by generating predictions using the feature columns in a labeled dataset as input and comparing the predictions to ground truth values in the target column of the labeled dataset. The dataset used with ML_SCORE should have ...
https://dev.mysql.com/doc/workbench/en/wb-admin-server-management.html
Manage your MySQL instances with a comprehensive view of your MySQL server connections. The visual tree-based navigation provides detailed information about server and status variables, including the number of threads, bytes sent and received by ...
https://dev.mysql.com/doc/workbench/en/wb-develop-sql-editor-results.html
The results area of the screen shows the results from executed statements. If the script contains multiple statements, a result subtab will be generated for each statemented that returned results. The following figure shows a single subtab and ...
https://dev.mysql.com/doc/workbench/en/wb-history-palette.html
Use the History palette to review the actions that you have taken. Left-clicking an entry opens a pop-up menu with the item, Copy History Entries to Clipboard. You can select multiple contiguous entries by pressing the Shift key and clicking the ...