OPTIMIZED EMBEDDING SEARCH
    1.
    发明申请

    公开(公告)号:US20250103632A1

    公开(公告)日:2025-03-27

    申请号:US18471445

    申请日:2023-09-21

    Applicant: Shopify Inc.

    Inventor: Daniel Baxter

    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.

    METHODS AND SYSTEMS FOR USING CACHED BUILDS IN SOFTWARE DEVELOPMENT

    公开(公告)号:US20240378036A1

    公开(公告)日:2024-11-14

    申请号:US18314523

    申请日:2023-05-09

    Applicant: Shopify Inc.

    Abstract: A method at a computing system, the method including creating a signature for a software component, the signature being created by hashing source code for the software component; checking a cache to determine whether the signature matches a cached signature; and responsive to the signature matching a cached signature, obtaining a binary for the software component from another computing system without compiling the software component.

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