VecFlow: A High-Performance Vector Data Management System for Filtered-Search on GPUs

Summary: VecFlow is a GPU-based, label-centric vector-filtered search system boosting filter selectivity for ANNS. Architecture-aware optimization and batch support deliver throughput and recall, reaching 5M QPS at 90% recall with up to 135x CPU gains over DiskANN. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 7346
Venue: SIGMOD
Year: 2026
Pagerank: 4.1945683e-05
Overall Rank: 10,039 | 30.17%
DOI: 10.1145/3749189

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Rank	Citing Paper	Year	Venue	Pagerank

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Showing 9 of 9 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
6	The R*-tree: An Efficient and Robust Access Method for Points and Rectangles	1990	SIGMOD	0.0016162015
34	Similarity Search in High Dimensions via Hashing	1999	VLDB	0.00076637636
212	Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph	2019	VLDB	0.00033913475
553	Bifocal Sampling for Skew-Resistant Join Size Estimation	1996	SIGMOD	0.00020272061
736	AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data	2020	VLDB	0.00017447617
770	A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search	2021	VLDB	0.00016917602
1,636	PASE: PostgreSQL Ultra-High-Dimensional Approximate Nearest Neighbor Search Extension	2020	SIGMOD	0.00011053863
2,523	ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data	2024	SIGMOD	8.604576e-05
3,680	SingleStore-V: An Integrated Vector Database System in SingleStore	2024	VLDB	6.8496415e-05

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