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Billion-Scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering

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  • معلومة اضافية
    • بيانات النشر:
      Sciendo, 2024.
    • الموضوع:
      2024
    • Collection:
      LCC:Cybernetics
    • نبذة مختصرة :
      This paper presents a novel approach for similarity search with complex filtering capabilities on billion-scale datasets, optimized for CPU inference. Our method extends the classical IVF-Flat index structure to integrate multi-dimensional filters. The proposed algorithm combines dense embeddings with discrete filtering attributes, enabling fast retrieval in high-dimensional spaces. Designed specifically for CPU-based systems, our disk-based approach offers a cost-effective solution for large-scale similarity search. We demonstrate the effectiveness of our method through a case study, showcasing its potential for various practical uses.
    • File Description:
      electronic resource
    • ISSN:
      1314-4081
    • Relation:
      https://doaj.org/toc/1314-4081
    • الرقم المعرف:
      10.2478/cait-2024-0035
    • الرقم المعرف:
      edsdoj.7701fc34a1824ac38022d1a38d6245af