Efficient Dynamic Indexing for Range Filtered Approximate Nearest Neighbor Search
Summary: RangePQ integrates with PQ-based indexes to support range-filtered ANN over high-dimensional vectors, enabling arbitrary attribute ranges with linear space. A hybrid two-layer design reduces space to O(n) while preserving fast queries and updates, boosting throughput and scalability. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Fangyuan Zhang (Chinese University of Hong Kong)
- 2. Mengxu Jiang (Chinese University of Hong Kong)
- 3. Guanhao Hou (Chinese University of Hong Kong)
- 4. Jieming Shi (Hong Kong Polytechnic University)
- 5. Hua Fan (Alibaba)
- 6. Wenchao Zhou (Alibaba)
- 7. Feifei Li (Alibaba)
- 8. Sibo Wang (Chinese University of Hong Kong)
BibTeX Citation
@inproceedings{zhang_sigmod25,
title = {{Efficient Dynamic Indexing for Range Filtered Approximate Nearest Neighbor Search}},
author = {Zhang, Fangyuan and Jiang, Mengxu and Hou, Guanhao and Shi, Jieming and Fan, Hua and Zhou, Wenchao and Li, Feifei and Wang, Sibo},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725401},
url = {https://dl.acm.org/doi/10.1145/3725401},
year = {2025}
}
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