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https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-chat.html
You can use GenAI Chat to simulate human-like conversations where you can get responses for multiple queries in the same session. GenAI Chat is a conversational agent that utilizes large language models (LLMs) to understand inputs and responds in ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-privileges.html
mysql> GRANT SELECT, INSERT, CREATE, DROP, ALTER, UPDATE ON output_schema.* TO 'user_name'@'%'; For more information, see Privileges Provided by MySQL and Default MySQL Privileges.
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-vector-store.html
Using the inbuilt vector store and retrieval-augmented generation (RAG), you can load and query unstructured documents stored in the local filesystem using natural language within the MySQL AI ecosystem. The sections in this topic describe how to ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-aiaml-error-messages.html
Each error message includes an error number, SQLSTATE value, and message string, as described in Error Message Sources and Elements. Error number: ML001016; SQLSTATE: HY000 Message: Only classification, regression, and forecasting tasks are ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-hw-genai-troubleshoot.html
This section describes some commonly encountered issues and errors for GenAI and their workarounds. The folder you are trying to load might contain unsupported format files or the file that you are trying to load might be of an unsupported format.
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-embed-table.html
Syntax Examples Generate embeddings for text stored in demo_db.input_table.Input using the all_minilm_l12_v2 embedding model, and save the generated embeddings in the output table demo_db.output_table.Output: mysql> CALL ... The ML_EMBED_TABLE ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-explain-table.html
ML_EXPLAIN_TABLE explains predictions for an entire table of unlabeled data. We recommend limiting the input table to a maximum of 100 rows. If the input table has more than ten columns, limit it to ten rows. A call to ML_EXPLAIN_TABLE can include ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-model-export.html
Use the ML_MODEL_EXPORT routine to export a model from the model catalog to a user defined table. To learn how to use ML_MODEL_EXPORT to share models, see Grant Other Users Access to a Model. ML_MODEL_EXPORT Overview After you run ML_MODEL_EXPORT, ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-model-load.html
The ML_MODEL_LOAD routine loads a model from the model catalog. A model remains loaded until the model is unloaded using the ML_MODEL_UNLOAD routine Use ML_MODEL_ACTIVE to check which models are active for which users. All active users and models ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-mysqlai-ml-model-unload.html
Note ML_MODEL_UNLOAD does not check whether the model specified is in the model catalog. If it is not, ML_MODEL_UNLOAD will succeed, but will not unload any model. Use ML_MODEL_ACTIVE to check which models are active and owned by the user.
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