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. 23, 2026

Filed:

Jan. 30, 2025
Applicant:

Salesforce, Inc., San Francisco, CA (US);

Inventors:

Zhujun Lan, San Francisco, CA (US);

Jonathan Gellin, Raleigh, NC (US);

Walter Harley, Bellevue, WA (US);

Bo Pang, San Francisco, CA (US);

Assignee:

Salesforce, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/22 (2019.01); G06F 16/21 (2019.01); G06F 16/23 (2019.01); G06F 16/245 (2019.01);
U.S. Cl.
CPC ...
G06F 16/2237 (2019.01); G06F 16/212 (2019.01); G06F 16/23 (2019.01); G06F 16/245 (2019.01);
Abstract

Methods, apparatuses, and computer-program products are disclosed. The method may include storing, on a local machine, a first vector database and a second vector database that include first and second vector embeddings of first and second context information. The method may include receiving a query requesting generation of code. The method may include comparing a third vector embedding that is based on the query with the plurality of first vector embeddings and the plurality of second vector embeddings to identify one or more first vector embeddings and one or more second vector embeddings. The method may include generating a prompt that may include the query, first information and second information corresponding with the one or more first and second vector embeddings. The method may include generating, with a generative artificial intelligence (AI) model, a response to the query based on the query, the first information, and the second information.


Find Patent Forward Citations

Quick Actions:

Lan, Zhujun. (2026). Locally-stored vector embedding databases (U.S. Patent No. 12664141). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12664141

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