Abstract: A method comprises storing a database comprising sets of data each corresponding to a different digital document uploaded to the one or more processors and corresponding to a category tag assigned to the digital document corresponding to the set of data; receiving a natural language query; parsing the natural language query to generate one or more parsed tags; updating a second query form on the user interface with the one or more parsed tags; retrieving, using one or more generative language models, a subset of the sets of data based on each set of data of the subset corresponding to at least one assigned category tag of the one or more parsed tags; querying, using the one or more generative language models, the retrieved subset of the sets of data based on the natural language query to retrieve response data; and presenting a visual representation of the response data.

Abstract: A method comprises storing a database comprising sets of data each corresponding to a different digital document uploaded to the one or more processors and corresponding to a category tag assigned to the digital document corresponding to the set of data; receiving a natural language query; parsing the natural language query to generate one or more parsed tags; updating a second query form on the user interface with the one or more parsed tags; retrieving, using one or more generative language models, a subset of the sets of data based on each set of data of the subset corresponding to at least one assigned category tag of the one or more parsed tags; querying, using the one or more generative language models, the retrieved subset of the sets of data based on the natural language query to retrieve response data; and presenting a visual representation of the response data.