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:
Dec. 16, 2025

Filed:

Jan. 10, 2024
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Chetan Sharma, Agra, IN;

Ramasuri Narayanam, Bangalore, IN;

Shaddy Garg, Baghapurana, IN;

Shiv Kumar Saini, Bengaluru, IN;

Siddhartha K Goel, Noida, IN;

Som Satapathy, Bangalore, IN;

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/21 (2019.01); G06F 16/242 (2019.01); G06F 16/2455 (2019.01);
U.S. Cl.
CPC ...
G06F 16/212 (2019.01); G06F 16/243 (2019.01); G06F 16/2455 (2019.01);
Abstract

The present disclosure relates to systems, non-transitory computer-readable media, and methods for linking a database schema to a natural language query. In particular, in some embodiments, the disclosed systems determine, from tables in a database schema, a subset of tables relevant to a natural language query by comparing embeddings for the tables in the database schema and embeddings for the natural language query. Additionally, in some implementations, the disclosed systems select, from a schema graph comprising nodes that represent the tables in the database schema, an additional table along a path between a pair of nodes representing a pair of tables from the subset of tables. Moreover, in some embodiments, the disclosed systems determine a set of relevant tables by appending the additional table to the subset of tables. Furthermore, in some implementations, the disclosed systems generate, from the set of relevant tables, a response for the natural language query.


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