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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)

Paper ID
hce58f42a2287a94e
Venue
SIGMOD
Year
2026
Pagerank
4.9793485e-05
Overall Rank
10,516 | 29.30%
DOI
10.1145/3802125

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Authors

BibTeX Citation

@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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Outgoing Citations (Sorted by Pagerank)

Showing 18 of 18 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
74 Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph 2019 VLDB 0.00037091678
341 AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data 2020 VLDB 0.00020539791
872 An Empirical Evaluation of In-Memory Multi-Version Concurrency Control 2017 VLDB 0.00013342029
916 PASE: PostgreSQL Ultra-High-Dimensional Approximate Nearest Neighbor Search Extension 2020 SIGMOD 0.00013094482
1,225 ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data 2024 SIGMOD 0.00011444398
1,957 SeRF: Segment Graph for Range-Filtering Approximate Nearest Neighbor Search 2024 SIGMOD 9.3159589e-05
3,001 ClickHouse - Lightning Fast Analytics for Everyone 2024 VLDB 7.7667824e-05
3,086 New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed 2021 VLDB 7.6629311e-05
3,230 Similarity Query Processing for High-Dimensional Data 2020 VLDB 7.5056037e-05
3,489 Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL 2024 VLDB 7.2627807e-05
4,346 UNIFY: Unified Index for Range Filtered Approximate Nearest Neighbors Search 2025 VLDB 6.6488514e-05
6,831 Filtered Vector Search: State-of-the-art and Research Opportunities 2025 VLDB 5.6685191e-05
7,270 AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework 2025 VLDB 5.5694935e-05
7,953 Fast Vector Search in PostgreSQL: A Decoupled Approach 2026 CIDR 5.4195517e-05
8,002 BigVectorBench: Heterogeneous Data Embedding and Compound Queries are Essential in Evaluating Vector Databases 2025 VLDB 5.4091781e-05
9,158 Database Perspective on LLM Inference Systems 2025 VLDB 5.2164603e-05
9,649 GaussDB-Vector: A Large-Scale Persistent Real-Time Vector Database for LLM Applications 2025 VLDB 5.1453267e-05
10,497 Reward-SQL: Boosting Text-to-SQL via Stepwise Execution-Aware Reasoning and Process-Supervised Rewards 2026 SIGMOD 4.9793485e-05
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