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https://dev.mysql.com/doc/heatwave/en/mys-hwaml-ml-model-export.html
Use this routine to export a model from the model catalog to a user defined table. MySQL 9.0.0 also introduces support for large models that changes how MySQL HeatWave AutoML stores models. To learn how to use ML_MODEL_EXPORT to share models, see ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-model-quality.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. You cannot score a model with a topic ...
https://dev.mysql.com/doc/heatwave/en/mys-hwgenai-hw-chat.html
The HEATWAVE_CHAT routine automatically calls the ML_RAG routine which loads an LLM and runs a semantic search on the available vector stores by default. If the routine cannot find a vector store, then it calls the ML_GENERATE routine and uses ...
https://dev.mysql.com/doc/heatwave/en/mys-hwgenai-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/heatwave/en/mys-hwgenai-ml-generate.html
The ML_GENERATE routine uses the specified large language model (LLM) to generate text-based content as a response for the given natural-language query. As of MySQL 9.4.1, the ML_GENERATE lets you generate text-based responses for queries ...
https://dev.mysql.com/doc/heatwave/en/mys-hwgenai-ml-rag-table.html
The ML_RAG_TABLE routine runs multiple retrieval-augmented generation (RAG) queries in a batch, in parallel. The output generated for every input query is the same as the output generated by the ML_RAG routine. Note In versions older than MySQL ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-8-0-23-u1.html
Functionality Added or Changed String column encoding support was added for TEXT-type columns. The clauses are now supported at any location in a query that is permitted by MySQL. (WL #14455) The following temporal functions are now supported: ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-9-2-1.html
Note These release notes were created with the assistance of MySQL HeatWave GenAI. MySQL HeatWave GenAI MySQL HeatWave MySQL HeatWave GenAI Context search in MySQL HeatWave GenAI now lets you use your own embedding tables. This enhancement enables ...
https://dev.mysql.com/doc/relnotes/heatwave/en/news-9-3-0.html
Note These release notes were created with the assistance of MySQL HeatWave GenAI. Important As of MySQL 9.3.0, to help you generate better quality embeddings, MySQL HeatWave GenAI uses multilingual-e5-small as the default embedding model for ...
https://dev.mysql.com/doc/heatwave-aws/en/heatwave-aws-cloudwatch-monitoring.html
CloudWatch Monitoring 17.1 CloudWatch Monitoring MySQL HeatWave on AWS supports AWS CloudWatch for detailed monitoring of your DB Systems and MySQL HeatWave Clusters. These are the prerequisites for using the feature: An AWS account for receiving ...