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:
Jul. 14, 2026

Filed:

Apr. 01, 2025
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Prakash Ghatage, Bangalore, IN;

Nirav Jagdish Sampat, Mumbai, IN;

Naveen Kumar Thangraj, Bangalore, IN;

Sangita Agarwal, Bangalore, IN;

Sreenivas Sekhar Josyula, Bangalore, IN;

Kaustubh Kurhekar, Pune, IN;

Sheetalkumar Chaugule, Pune, IN;

Priyalatha Padmini Sashikumar, Bangalore, IN;

Sattish Sundarakrishnan, Bangalore, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/2458 (2019.01); G06F 16/334 (2025.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01);
U.S. Cl.
CPC ...
G06F 16/2458 (2019.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01); G06F 16/3344 (2019.01);
Abstract

A technique for generative artificial intelligence-based information retrieval is disclosed. The system receives a natural language query for information to be retrieved from a knowledge base, that includes a structured data source and an unstructured data source. Further, contextual information for the natural language query is extracted from the knowledge base by domain-based chunking and tagging of relevant documents in the unstructured data source, and/or executing an automatically generated Structured Query Language (SQL) query, on the structured data source. Following, the system inputs the contextual information along with the natural language query to at least a Large Language Model (LLM). The system provides an output of the LLM as a response to the natural language query.


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