Database searching using embeddings
The embedding-based search system addresses incomplete database results by converting records to vector space for accurate matching, enhancing retrieval efficiency and reducing resource use.
WO2026127949A1PCT designated stage Publication Date: 2026-06-18EQUIFAX INC
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- EQUIFAX INC
- Filing Date
- 2024-12-10
- Publication Date
- 2026-06-18
Smart Images
Figure US2024059300_18062026_PF_FP_ABST
Abstract
In some aspects, a computing system can include an embedding-based search system for retrieving records. For example, the system can store one or more personally identifiable information ("PII") data sets where each PII record corresponds to a respective entity and generate, by a classification model, PII vector embeddings for one or more of the PII records. The system can receive one or more queries and generate, by a classification machine learning mode, PII vector embeddings from a generate, by the classification model, a query vector embedding corresponding to one of the one or more queries. The system may then determine a similarity score by determining a distance between the query vector embedding and the one or more of the PII vector embeddings.
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