Intuit, Inc.

Rachit Debashish Sengupta

Siddharth Jain

John Patrick Symborski

Jianzhao Huang

A method includes obtaining, as a response to a user query, a multitude of search results and corresponding similarity scores. The method further includes obtaining a multitude of data sources corresponding to the multitude of search results. The method further includes processing a multi-metric analytic function for the search results, and corresponding data sources to obtain a composite score for the search results. The method further includes selecting a subset of search results from the multitude of search results based on a composite score threshold to obtain a selected subset of search results. The method further includes selecting a corresponding subset of data sources from the multitude of data sources to obtain a selected subset of data sources. The method further includes generating a prompt to a large language model (LLM), including at least the user query, the selected subset of search results, and the selected subset of data sources.

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San Diego, CA, United States of America

Rachit Debashish Sengupta