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Filtered Vector Search: State-of-the-art and Research Opportunities
Summary: Comprehensive tutorial on filtered vector search (FVS): combines ANN/vector search with relational filters, surveys three primary filtered-search methods over tree- and graph-based indices and trade-offs for method selection. Emphasizes declarable/stable recall, recent filter-optimized indices, and open research challenges for integrating FVS into DB engines and query optimizers.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 14188
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,845 | 24.63%
- DOI
-
10.14778/3750601.3750700
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No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
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.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059446482 |
| 494 |
Milvus: A Purpose-Built Vector Data Management System |
2021 |
SIGMOD |
0.00021769407 |
| 730 |
AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data |
2020 |
VLDB |
0.00017443615 |
| 1,188 |
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data |
2020 |
PODS |
0.00013431099 |
| 1,617 |
PASE: PostgreSQL Ultra-High-Dimensional Approximate Nearest Neighbor Search Extension |
2020 |
SIGMOD |
0.0001113145 |
| 2,060 |
Dremel: A Decade of Interactive SQL Analysis at Web Scale |
2020 |
VLDB |
9.6585115e-05 |
| 2,525 |
ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data |
2024 |
SIGMOD |
8.5991468e-05 |
| 3,552 |
SeRF: Segment Graph for Range-Filtering Approximate Nearest Neighbor Search |
2024 |
SIGMOD |
6.9765275e-05 |
| 3,612 |
SingleStore-V: An Integrated Vector Database System in SingleStore |
2024 |
VLDB |
6.9177653e-05 |
| 4,193 |
New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed |
2021 |
VLDB |
6.3657766e-05 |
| 4,273 |
Similarity Query Processing for High-Dimensional Data |
2020 |
VLDB |
6.2932217e-05 |
| 4,600 |
Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search |
2025 |
SIGMOD |
6.0528015e-05 |
| 7,001 |
FedSQ: A Secure System for Federated Vector Similarity Queries |
2024 |
VLDB |
4.8613015e-05 |
| 7,608 |
Tribase: A Vector Data Query Engine for Reliable and Lossless Pruning Compression using Triangle Inequalities |
2025 |
SIGMOD |
4.6922063e-05 |
| 8,170 |
The Journey to A Knowledgeable Assistant with Retrieval-Augmented Generation (RAG) |
2024 |
SIGMOD |
4.5656446e-05 |
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CIDR |
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| 10,284 |
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VLDB |
4.1905499e-05 |