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. 29, 2025

Filed:

Apr. 23, 2024
Applicant:

Oracle International Corporation, Redwood Shores, CA (US);

Inventors:

Harsh Vardhan Rai, Bangalore, IN;

Kshitiz Lohia, Rewari, IN;

Divyank Gupta, Bengaluru, IN;

Srikanta Prasad Sondekoppam Vijayashankar, Bangalore, IN;

Assignee:

ORACLE INTERNATIONAL CORPORATION, Redwood Shores, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/242 (2019.01); G06F 16/2452 (2019.01); G06F 16/248 (2019.01);
U.S. Cl.
CPC ...
G06F 16/2423 (2019.01); G06F 16/24522 (2019.01); G06F 16/248 (2019.01);
Abstract

The present disclosure pertains to natural language techniques for querying data stored in feature stores using zero shot learning. In a particular aspect, a computer-implemented method includes receiving a natural language query for retrieving features from a feature store, generating an input prompt by appending a script to the natural language query, and then using a large language model to determine tables or databases from the feature store that are relevant to the natural language query, retrieve metadata for the tables or databases from the feature store, determine feature groups comprising features relevant to the natural language query, and generate a programming language query based on the input prompt, the metadata, and the groups. A list of features within the feature groups that are accessible within the feature store may then be retrieved by executing the programming language query on the feature store.


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