Custom embedding model for semantic search
US12399918B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 27, 2024 |
| Grant date | Aug 26, 2025 |
| Priority date | — |
| Expiry date | Feb 27, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/316
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
System, methods, apparatuses, and computer program products are disclosed for generating a field-specific embedding model and employing the generated field-specific embedding model for semantic search of a field-specific database. A plurality of field-specific documents stored in a field-specific database are analyzed to determine a first document and a second document that are relevant to each other. A training dataset including a first training pair is generated by pairing a first portion of the first document with a corresponding second portion of the second document based on determining that the first document and second document are relevant to each other. A field-specific embedding model is trained based on the training dataset. The plurality of field-specific documents are provided to the field-specific embedding model to generate index embedding vectors. The field-specific database storing the plurality of field-specific documents is indexed based on the generated index embedding vectors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.