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https://dev.mysql.com/doc/c-api/9.7/en/mysql-stmt-send-long-data.html
It inserts the data value 'MySQL - The most popular Open Source database' into the text_column column. bool mysql_stmt_send_long_data(MYSQL_STMT *stmt, unsigned int parameter_number, const char *data, unsigned long length) Description Enables an ...
https://dev.mysql.com/doc/c-api/9.7/en/query-results.html
In addition to the result set returned by a query, you can also get the following information: mysql_affected_rows() returns the number of rows affected by the last query when doing an INSERT, UPDATE, or DELETE. mysql_insert_id() returns the ID ...
https://dev.mysql.com/doc/extending-mysql/9.7/en/adding-loadable-function.html
For aggregate functions that work like SUM(), you must also provide the following functions: xxx_clear() Reset the current aggregate value but do not insert the argument as the initial aggregate value for a new group. These statements require the ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-aml-model-sharing.html
This topic describes how to grant other users access to a model you create. Before You Begin Share Your Models Export the Model to Share Set Up Other User with Required Privileges Importing Shared Model Run AutoML Routines on Imported Model What's ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-genai-generate-content.html
The following sections in this topic describe how to generate new text-based content using the GenAI feature of MySQL AI: Before You Begin Generating Content Running Batch Queries What's Next Before You Begin Review the GenAI requirements and ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-genai-generate-embeddings.html
This section describes how to generate vector embeddings using the ML_EMBED_ROW routine. 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 ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-genai-rag.html
The ML_RAG routine runs retrieval-augmented generation which aims to generate more accurate responses for your queries. For context retrieval, the ML_RAG routine uses the name of the embedding model used to embed the input query to find relevant ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-genai-run-chat.html
When you run GenAI Chat, it automatically loads the llama3.2-3b-instruct-v1 LLM. By default, GenAI Chat searches for an answer to a query across all ingested documents by automatically discovering available vector stores, and returns the answer ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-genai-summarize-content.html
It can scale horizontally by adding more servers to the cluster, or ', 'vertically by upgrading the hardware.' ) ); mysql> INSERT INTO input_table (Input) VALUES( CONCAT( 'Artificial Intelligence or AI refers to the simulation of human intelligence ... The following sections in this topic describe how to summarize exiting content using the GenAI: Before You Begin Summarizing Content Running Batch Queries What's Next Before You Begin Review the GenAI requirements and ...
https://dev.mysql.com/doc/relnotes/mysql-shell/9.7/en/news-9-6-0.html
The following commands now grant INSERT and UPDATE ON to MySQL Router accounts: setup_router_account(): grants INSERT and UPDATE ON to new accounts. Note These release notes were created with the assistance of MySQL HeatWave GenAI. AdminAPI Added ...