Dynamic query planning and execution

A system comprising:

• a processor;
• and a memory coupled to the processor, wherein the memory comprises instructions that, when executed by the processor, cause the processor to:
• receive an input via a device;
• extract a plurality of intents via execution of an intent query against an intent library of a computer system, wherein the intent query comprises the input as a parameter;
• provide the input, the plurality of intents, and a prompt to a generative machine learning model executed on the computer system, wherein the prompt is formulated using the input and the plurality of intents, wherein the prompt comprises instructions received via an instruction library;
• receive a first output via the generative machine learning model by executing the prompt using the input and the plurality of intents, wherein the first output comprises a first function and a first function parameter, wherein the first function comprises a search function of a particular type selected from a plurality of function types by the generative machine learning model and the first function parameter comprises at least one of a parameter value and a search term determined by the generative machine learning model;
• formulate a first result or a second result via execution of the first function, wherein the formulating of the first result or the second result comprises retrieving at least one of a facet and a filter from a data resource of a computing system, wherein the data resource is selected via the generative machine learning model by executing the prompt using the input;
• and
• cause presentation of at least one of the first result or the second result to generate a search improvement recommendation via the device.

A non-transitory machine-readable storage medium comprising instructions that, when executed by a processor, causes the processor to:

• receive an input via a device;
• extract a plurality of intents via execution of an intent query against an intent library of a computer system, wherein the intent query comprises the input as a parameter;
• provide the input, the plurality of intents, and a prompt to a generative machine learning model executed on the computer system, wherein the prompt is formulated using the input and the plurality of intents, wherein the prompt comprises instructions received via an instruction library:
• receive a first output via the generative machine learning model by executing the prompt using the input and the plurality of intents, wherein the first output comprises a first function and a first function parameter, wherein the first function comprises a search function of a particular type selected from a plurality of function types by the generative machine learning model and the first function parameter comprises at least one of a parameter value and a search term determined by the generative machine learning model;
• formulate a first result or a second result via execution of the first function, wherein the formulating of the first result or the second result comprises retrieving at least one of a facet and a filter from a data resource of a computing system, wherein the data resource is selected via the generative machine learning model by executing the prompt using the input;
• and
• cause presentation of at least one of the first result or the second result to generate a search improvement recommendation via the device.