VecBench: A Controllable Benchmark for Filtered Vector Search: [Experiments & Analysis]
Summary: VecBench controllably generates large, high-dimensional, distribution-preserving data and workloads with tunable selectivity/filter correlation. Its holistic metric spans six phases, including concurrency and updates, enabling systematic comparison of filtered-search methods and vector databases.
(summarized by gpt-5.6-luna on Jul 26 2026)
@inproceedings{zhang_sigmod26,
title = {{VecBench: A Controllable Benchmark for Filtered Vector Search: [Experiments \& Analysis]}},
author = {Zhang, Xiang and Zhang, Chao and Fan, Ju and Li, Guoliang and Du, Xiaoyong},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3802125},
url = {https://dl.acm.org/doi/10.1145/3802125},
year = {2026}
}
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