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https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-limitations.html
The model catalog schema created by the ML_TRAIN procedure incorporates the user name in the schema name (for example., ML_SCHEMA_joesmith), and a period is not a permitted schema name character. Text Handling Limitations AutoML only supports ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-prereqs.html
The model catalog schema created by the ML_TRAIN procedure incorporates the user name in the schema name (for example, ML_SCHEMA_joesmith), and a period is not a permitted schema name character. Before You Begin Model and Table Sizes The table used ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-genai-byo-embedding-tables.html
If you want to use an inbuilt vector store table along with your own embedding table, complete the steps to set up the vector store. However, since the inbuilt vector store tables only use the predefined column names, if you change a column name ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-byo-embedding-tables.html
If you want to use an inbuilt vector store table along with your own embedding table, complete the steps to set up the vector store. However, since the inbuilt vector store tables only use the predefined column names, if you change a column name ...
https://dev.mysql.com/doc/refman/8.4/en/innodb-row-format.html
The row format of a table determines how its rows are physically stored, which in turn can affect the performance of queries and DML operations. Variable-length columns are an exception to the rule that column values are stored in B-tree index ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-prepare-an-anomaly-detection-model.html
If not already done, create and use the database to store the data. This topic describes how to prepare the data to use for two anomaly detection machine learning models: a semi-supervised anomaly detection model, and an unsupervised anomaly ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-aml-prepare-an-anomaly-detection-model.html
If not already done, create and use the database to store the data. This topic describes how to prepare the data to use for two anomaly detection machine learning models: a semi-supervised anomaly detection model, and an unsupervised anomaly ...
https://dev.mysql.com/doc/mysql-ai/9.4/en/mys-ai-genai-rag.html
For context retrieval, the ML_RAG routine uses the name of the embedding model used to embed the input query to find relevant vector store tables that contain vector embeddings from the same embedding model. This topic contains the following ... The ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-rag.html
As of MySQL 9.2.1, for context retrieval, the ML_RAG routine uses the name of the embedding model used to embed the input query to find relevant vector store tables that contain vector embeddings from the same embedding model. This topic contains ...
https://dev.mysql.com/doc/mysql-shell/9.4/en/mysqlsh.html
When MySQL Shell is connected to the MySQL Server through the X Protocol, the X DevAPI can be used to work with both relational and document data, see Using MySQL as a Document Store. When you specify one of these plugins and do not specify a user ... MySQL Shell is an advanced command-line client and code editor for ...