The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 16, 2026

Filed:

Apr. 23, 2024
Applicant:

Honeywell International Inc., Charlotte, NC (US);

Inventors:

Ankit Singh, Apex, NC (US);

Eric Hartye, Oak Ridge, TN (US);

Waad Subber, Niskayuna, NY (US);

Jason Halpern, Elkins Park, PA (US);

Assignee:

HONEYWELL INTERNATIONAL INC., Charlotte, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G06F 16/3329 (2025.01); G16H 70/40 (2018.01);
U.S. Cl.
CPC ...
G06F 16/3329 (2019.01); G16H 70/40 (2018.01);
Abstract

The present disclosure provides a system for providing virtual assistant for generating customized query for retrieving data from a database. The system comprises a processor and a memory storing program instructions, which, when executed by the processor, causes the processor to provide one or more index of categories of the data, for efficient retrieval of the data from the database based on a customer's query. The processor is also configured to provide one or more few-shot prompts for use by the customer for generating an output in a predetermined format corresponding to the customer's query. The processor is configured to receive a query from the one or more customer, wherein said query is a text and is based on at least one of index of categories and the few-shot prompt. The processor, based on indexes and few-shot prompt processes the query using natural language processing to extract one or more textual content from the query and sends the query to the database for retrieval of the data. The system retrieves the relevant data based on identified textual content, said relevant data is based on semantic similarity between the vector index and displays the retrieved data to the one or more customer based on the predetermined format specified by few-shot prompt.


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