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https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-run-chat.html
As of MySQL 9.2.1, MySQL HeatWave Chat lets you use your own embedding tables for context retrieval. In earlier versions of MySQL, MySQL HeatWave Chat uses only inbuilt vector store tables for context retrieval. In this topic, the HEATWAVE_CHAT ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-vector-store-overview.html
About Optical Character Recognition Optical Character Recognition (OCR) in MySQL HeatWave GenAI lets you extract and encode text from images stored in unstructured documents. The text extracted from images is converted into vector embeddings and ...
https://dev.mysql.com/doc/heatwave-aws/en/heatwave-aws-data-import-details.html
Files (for text file imports only): The names of imported data files. Skip rows (for text file imports only): The number of rows that is skipped from the beginning of the imported data file or, in the case of multiple import files, at the beginning ... Data Import Details 7.2.1.3.1 Data Import Details Use the Console to view the Data Import ...
https://dev.mysql.com/doc/heatwave-aws/en/heatwave-aws-genai-embedding-models.html
As of MySQL 9.2.1, can be used for encoding text or documents in all supported languages (in earlier versions of MySQL, can be used for encoding text or documents in all supported languages other than English). all_minilm_l12_v2: In MySQL 9.2.2 and ... MySQL HeatWave GenAI In-databse Embedding Models 14.2.4 MySQL HeatWave GenAI In-databse Embedding Models For MySQL 9.3.2 and later, see View Available Models on how to view a list of the supported in-database embedding ...
https://dev.mysql.com/doc/refman/8.4/en/create-table-ndb-comment-options.html
This works for BLOB, MEDIUMBLOB, LONGBLOB, TEXT, MEDIUMTEXT, LONGTEXT, and JSON columns. NDB_COLUMN comments do not support TINYBLOB or TINYTEXT columns, since these have an inline part (only) of fixed size, and no separate parts to store elsewhere.
https://dev.mysql.com/doc/refman/8.4/en/mysqlbinlog.html
To display their contents in text format, use the mysqlbinlog utility. --protocol={TCP|SOCKET|PIPE|MEMORY} Command-Line Format --protocol=type Type String Default Value [see text] Valid Values TCPSOCKETPIPEMEMORY The transport protocol to use for ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-run-chat.html
GenAI Chat also lets you use your own embedding tables for context retrieval. In this topic, the HEATWAVE_CHAT routine uses the vector store table demo_embeddings created in the section Ingesting Files into a Vector Store for context retrieval. To ... When you run GenAI Chat, it automatically loads the llama3.2-3b-instruct-v1 ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-vector-store-overview.html
The text extracted from images is converted into vector embeddings and stored in a vector store the same way regular text in unstructured documents is encoded and stored in a vector store. OCR in GenAI also has the following limitations: GenAI might ... This section describes the Vector Store functionality available with ...
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-rag.html
This routine aims to provide detailed, accurate, and contextually relevant answers by augmenting a generative model with information retrieved from a comprehensive knowledge base. The output contains the following segments: text: the generated ...