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)
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Authors
- 1. Yicheng Jin
- 2. Yongji Wu
- 3. Wenjun Hu
- 4. Bruce M. Maggs
- 5. Jun Yang
- 6. Xiao Zhang
- 7. Danyang Zhuo
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