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https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-vector-store-load.html
The specified LLM must be capable of processing both textual and visual inputs. As of MySQL 9.3.2, you can optionally set the following chunking parameters for customized text segmentation during vector store creation: SplitBy: method to use for ...
https://dev.mysql.com/doc/refman/8.4/en/audit-log-filter-definitions.html
query_digest([str]) This function has differing behavior depending on whether an argument is given: With no argument, query_digest returns the statement digest value corresponding to the statement literal text in the current event. As Table 8.42, ...
https://dev.mysql.com/doc/refman/8.4/en/create-table.html
| {FULLTEXT | SPATIAL} [INDEX | KEY] [index_name] (key_part,...) [index_option] ... Character data types (CHAR, VARCHAR, the TEXT types, ENUM, SET, and any synonyms) can include CHARACTER SET to specify the character set for the column. BLOB and ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-generate-embeddings.html
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 string in the routine manually or use data from tables in your database. To embed multiple ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-generate-embeddings.html
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 string in the routine manually or use data from tables in your database. To embed multiple ...
https://dev.mysql.com/doc/mysql-ai/9.5/en/mys-ai-genai-summarize-content.html
Summarizing Content To summarize text, perform the following steps: To define the text that you want to summarize, set the @text variable: mysql> SET @text="TextToSummarize"; Replace TextToSummarize with the text that you want to summarize. For ...
https://dev.mysql.com/doc/mysql-ai/9.5/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-supported-models.html
As of MySQL 9.4.1, MySQL HeatWave GenAI lets you use OCI Generative AI Service Vision Large Language Models (VLLMs) for generating text-based content pertaining to visual images. MySQL HeatWave In-Database Embedding Models The following in-database ... This topic provides the list of languages that MySQL HeatWave GenAI supports and the embedding models as well as large language models (LLMs) that are available in MySQL ...
https://dev.mysql.com/doc/refman/8.4/en/string-type-syntax.html
The string data types are CHAR, VARCHAR, BINARY, VARBINARY, BLOB, TEXT, ENUM, and SET. For definitions of character string columns (CHAR, VARCHAR, and the TEXT types), MySQL interprets length specifications in character units. Column definitions ...
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 ...