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An Experimental Evaluation of Hybrid Querying on Vectors
Summary: Comprehensive evaluation and taxonomy of 15 hybrid vector+structured-filtering query algorithms, introducing standardized attribute/range benchmarks and classifying methods by index organization and filtering strategy. Large-scale (100M) cross-platform experiments compare build/query costs and robustness across distributions, yielding strengths/weaknesses, practical algorithm-selection guidelines, and directions for improvement.
(summarized by gpt-5-mini on Mar 13 2026)
- Paper ID
- 14310
- Venue
- VLDB
- Year
- 2026
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,273 | 28.54%
- DOI
-
10.14778/3773749.3773757
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