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https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-aml-how-to-import-onnx.html
mysql> LOAD DATA INFILE 'iris_base64.onnx' INTO TABLE onnx_temp CHARACTER SET binary FIELDS TERMINATED BY '\t' LINES TERMINATED BY '\r' (onnx_string); Insert the loaded string into a session variable. Import model as a string: For smaller models, ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-genai-rag.html
The examples in this topic use the vector store table demo_embeddings created in the section Ingesting Files into a Vector Store. While Lakehouse provides in-memory query processing on data in Object Storage, it does not load data into a DB System ... The ML_RAG routine runs retrieval-augmented generation which aims to generate more accurate responses for your ...
https://dev.mysql.com/doc/heatwave/en/mys-hwaml-lakehouse.html
Use ML_PREDICT_ROW and ML_EXPLAIN_ROW with Lakehouse Data To avoid using the FROM clause, you can insert the data to predict and explain directly into a JSON object. mysql> CALL sys.ML_MODEL_LOAD(@bank_model, NULL); Insert the data to predict and ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-generate-embeddings.html
For example: mysql> SELECT sys.ML_EMBED_ROW(@text, JSON_OBJECT("model_id", "all_minilm_l12_v2")) into @text_embedding; The routine returns a VECTOR, and this commad stores it in the @text_embedding variable. This section describes how to generate ...
https://dev.mysql.com/doc/heatwave/en/mys-hw-genai-rag.html
While Lakehouse provides in-memory query processing on data in Object Storage, it does not load data into a DB System table.", "distance": 0.1028, "document_name": ... The ML_RAG routine runs retrieval-augmented generation which aims to generate ...
https://dev.mysql.com/doc/mysql-cluster-manager/8.4/en/mcm-attribute-tables-mysqld.html
ndb_log_binlog_index: Insert mapping between epochs and binary log positions into ndb_binlog_index table. ndb-blob-read-batch-bytes: Specifies size in bytes that large BLOB reads should be batched into. ndb-blob-write-batch-bytes: Specifies size in ...ndb-cluster-connection-pool-nodeids: Comma-separated list of node IDs for connections to cluster used by MySQL; number of nodes in list must match value set for ...
https://dev.mysql.com/doc/refman/9.7/en/mysql-cluster-option-tables.html
ndb_log_binlog_index: Insert mapping between epochs and binary log positions into ndb_binlog_index table. ndb-blob-read-batch-bytes: Specifies size in bytes that large BLOB reads should be batched into. ndb-blob-write-batch-bytes: Specifies size in ... The following list includes command-line options, system variables, and status variables applicable within mysqld when it is running as an SQL node in an NDB ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-genai-generate-embeddings.html
For example: mysql> SELECT sys.ML_EMBED_ROW(@text, JSON_OBJECT("model_id", "all_minilm_l12_v2")) into @text_embedding; The routine returns a VECTOR, and this command stores it in the @text_embedding variable. This section describes how to generate ...
https://dev.mysql.com/doc/mysql-ai/9.7/en/mys-ai-genai-run-chat.html
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. While I couldn't find specific information on the exact algorithms used by ...
https://dev.mysql.com/doc/refman/9.7/en/load-xml.html
User variables can be especially useful when you want to insert data from an XML file into table columns whose names do not match those of the XML fields. To write data from a table to an XML file, you can invoke the mysql client with the --xml and ...The tagname in the optional ROWS IDENTIFIED BY clause must also be given as a literal string, and must be surrounded by angle brackets (< and ...