Filtered Vector Search: State-of-the-art and Research Opportunities
Summary: Tutorial on filtered vector search, combining relational predicates with ANN, covering tree/graph filtering strategies and filter-optimized indices. Highlights declarative, stable-recall guarantees as a central database-engine challenge and identifies open optimization problems. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yannis Chronis (ETH Zurich)
- 2. Helena Caminal (Google)
- 3. Yannis Papakonstantinou (Google)
- 4. Fatma Özcan (Google)
- 5. Anastasia Ailamaki (EPFL)
BibTeX Citation
@article{chronis_vldb25,
title = {{Filtered Vector Search: State-of-the-art and Research Opportunities}},
author = {Chronis, Yannis and Caminal, Helena and Papakonstantinou, Yannis and Özcan, Fatma and Ailamaki, Anastasia},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5488--5492},
doi = {10.14778/3750601.3750700},
url = {https://doi.org/10.14778/3750601.3750700},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,193 | An In-Depth Study of Filter-Agnostic Vector Search on a PostgreSQL Database System: [Experiments & Analysis] | 2026 | SIGMOD | 5.093636e-05 |
| 10,242 | FAVOR: Efficient Filter-Agnostic Vector ANNS Based on Selectivity-Aware Exclusion Distances | 2026 | SIGMOD | 5.093636e-05 |
| 10,304 | VecBench: A Controllable Benchmark for Filtered Vector Search: [Experiments & Analysis] | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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