US Patent Issued on Oct. 20 for "Method and system for searching for nearest neighbors in the cardinality-based vector database" (South Korean Inventors)

ALEXANDRIA, Va., Oct. 21 -- United States Patent no. 12,769,718, issued on Oct. 20.

"Method and system for searching for nearest neighbors in the cardinality-based vector database" was invented by Hong Chan Roh (Seongnam-si, South Korea), Moo Kyoung Chung (Yongin-si, South Korea) and Moo Hyeon Nam (Seoul, South Korea).

According to the abstract* released by the U.S. Patent & Trademark Office: "Provided are a method and system for searching for a nearest neighbor in a cardinality-based vector database. Cardinality data of a filtering condition column is statistically processed and recorded, and a data filtering and search method is determined by comparing the recorded data with a predetermined threshold value. When the cardinality data is ...