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:
Mar. 03, 2026

Filed:

Nov. 09, 2023
Applicant:

Palantir Technologies Inc., Denver, CO (US);

Inventors:

Anirvan Mukherjee, Brooklyn, NY (US);

Craig De Souza, Jersey City, NY (US);

Edgar Gomes De Araujo, Sao Paulo, BR;

Johannes Beil, Copenhagen, DK;

Jessica Winssinger, New York, NY (US);

Michael Zullo, Scarsdale, NY (US);

Rushad Heerjee, New York, NY (US);

Shubhankar Sachdev, New York, NY (US);

Assignee:

Palantir Technologies Inc., Denver, CO (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/62 (2013.01); G06F 16/334 (2025.01);
U.S. Cl.
CPC ...
G06F 21/6227 (2013.01); G06F 16/3344 (2019.01); G06F 16/3347 (2019.01);
Abstract

Computer-implemented systems and methods are disclosed, including systems and methods utilizing language models for searching a large corpus of data. A computer-implemented method may include: receiving a first user input comprising a natural language query; vectorizing the first user input into a query vector; executing, using the query vector, a similarity search in a document search model to identify one or more similar document portions, where the document search model includes a plurality of vectors corresponding to a plurality of portions of a set of documents; generating a first prompt for a large language model ('LLM'), the first prompt including at least the first user input, and the one or more similar document portions; transmitting the first prompt to the LLM; receiving a first output from the LLM in response to the first prompt; and providing, via a user interface, the first output from the LLM.


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