Invention Application
- Patent Title: OPTIMIZED EMBEDDING SEARCH
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Application No.: US18471445Application Date: 2023-09-21
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Publication No.: US20250103632A1Publication Date: 2025-03-27
- Inventor: Daniel Baxter
- Applicant: Shopify Inc.
- Applicant Address: CA Ottawa
- Assignee: Shopify Inc.
- Current Assignee: Shopify Inc.
- Current Assignee Address: CA Ottawa
- Main IPC: G06F16/33
- IPC: G06F16/33 ; G06F40/279

Abstract:
Systems and methods are disclosed for an embedding search that are optimized, e.g., for a “find similar” or “more like this” search. In one embodiment, a computer-implemented method comprises receiving a request to find data records in a collection of data records that are similar to a particular data record, determining that the particular data record is not included in a model comprising data indicative of similar data records among the collection based on embeddings of data records in the collection, and, responsive thereto, generating at least one embedding of the particular data record and searching the model for a subset of the collection that are similar to the particular data record, based on the at least one embedding. The method further comprises providing a response to the request comprising at least some of the similar data records.
Information query