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Curator: Efficient Vector Search with Low-Selectivity Filters

Summary: Curator targets low-selectivity filtered ANNS, where graph indexes fragment after predicate pruning and degree-boosting fixes are too costly. It uses a dual-index, partition-based design with label-specialized indexes inside a shared clustering tree, preserving graph-based performance while adding incremental updates and complex predicates with little overhead. (summarized by gpt-5.4-mini on Apr 11 2026)

Paper ID
7461
Venue
SIGMOD
Year
2026
Pagerank
4.1945683e-05
Overall Rank
10,150 | 29.39%
DOI
10.1145/3786635

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