Natural language to query language transformation

An apparatus for use in a data access and analysis system, the apparatus comprising:

• a non-transitory computer readable medium;
• and
• a processor configured to execute instructions stored on the non-transitory computer readable medium to:
• obtain artificial data analysis request data, wherein to obtain the artificial data analysis request data the processor executes the instructions to:
• obtain triggering event data indicating an occurrence of an event in the data access and analysis system identified in accordance with one or more event definitions in the data access and analysis system, wherein to obtain the triggering event data the processor executes the instructions to obtain primary data source data that includes at least one primary data source identifier, wherein a primary data source is identified by the at least one primary data source identifier;
• in response to the triggering event data, obtain large language model input data for obtaining the artificial data analysis request data, wherein to obtain the large language model input data the processor executes the instructions to:
• obtain prompt context data, wherein to obtain the prompt context data the processor executes the instructions to:
• obtain data source data that includes at least one secondary data source identifier associated with the primary data source in accordance with the triggering event data;
• include the data source data in the prompt context data;
• obtain sample values data in accordance with the at least one secondary data source identifier;
• and
• include the sample values data in the prompt context data;
• and
• include the prompt context data in the large language model input data;
• obtain large language model generated data output by a large language model in response to the large language model input data, wherein the large language model generated data includes at least one candidate artificial data analysis request tuple, wherein a respective candidate artificial data analysis request tuple includes a large language model generated natural language data portion, a corresponding large language model generated resolved request data portion, and a corresponding large language model generated description data portion;
• and
• validate the large language model generated data, wherein to validate the large language model generated data the processor executes the instructions to validate the at least one candidate artificial data analysis request tuple in accordance with a defined data-analytics grammar implemented by the data access and analysis system;
• and
• output at least a portion of the artificial data analysis request data for presentation to a user.

A non-transitory computer-readable storage medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:

• obtaining, by a data access and analysis system, artificial data analysis request data, wherein obtaining the artificial data analysis request data includes:
• obtaining triggering event data indicating an occurrence of an event in the data access and analysis system identified in accordance with one or more event definitions in the data access and analysis system, wherein obtaining the triggering event data includes obtaining primary data source data including at least one primary data source identifier, wherein a primary data source is identified by the at least one primary data source identifier;
• in response to obtaining the triggering event data, obtaining large language model input data for obtaining the artificial data analysis request data, wherein obtaining the large language model input data includes:
• obtaining prompt context data, wherein obtaining the prompt context data includes:
• obtaining data source data including at least one secondary data source identifier associated with the primary data source in accordance with the triggering event data;
• including the data source data in the prompt context data;
• obtaining sample values data in accordance with the at least one secondary data source identifier;
• and
• including the sample values data in the prompt context data;
• and
• including the prompt context data in the large language model input data;
• obtaining large language model generated data output by a large language model in response to the large language model input data, wherein the large language model generated data includes at least one candidate artificial data analysis request tuple, wherein a respective candidate artificial data analysis request tuple includes a large language model generated natural language data portion, a corresponding large language model generated resolved request data portion, and a corresponding large language model generated description data portion;
• and
• validating the large language model generated data, wherein validating the large language model generated data includes validating the at least one candidate artificial data analysis request tuple in accordance with a defined data-analytics grammar implemented by the data access and analysis system;
• and
• outputting at least a portion of the artificial data analysis request data for presenting to a user.