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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
- 14187
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,841 | 24.59%
- DOI
-
10.14778/3750601.3750700
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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 |
0.00059038975 |
| 495 |
Milvus: A Purpose-Built Vector Data Management System |
2021 |
SIGMOD |
0.00021767688 |
| 736 |
AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data |
2020 |
VLDB |
0.00017447617 |
| 1,190 |
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data |
2020 |
PODS |
0.00013438056 |
| 1,636 |
PASE: PostgreSQL Ultra-High-Dimensional Approximate Nearest Neighbor Search Extension |
2020 |
SIGMOD |
0.00011053863 |
| 2,062 |
Dremel: A Decade of Interactive SQL Analysis at Web Scale |
2020 |
VLDB |
9.6481955e-05 |
| 2,523 |
ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data |
2024 |
SIGMOD |
8.604576e-05 |
| 3,624 |
SeRF: Segment Graph for Range-Filtering Approximate Nearest Neighbor Search |
2024 |
SIGMOD |
6.9056e-05 |
| 3,680 |
SingleStore-V: An Integrated Vector Database System in SingleStore |
2024 |
VLDB |
6.8496415e-05 |
| 4,200 |
New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed |
2021 |
VLDB |
6.3651489e-05 |
| 4,278 |
Similarity Query Processing for High-Dimensional Data |
2020 |
VLDB |
6.2953764e-05 |
| 4,598 |
Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search |
2025 |
SIGMOD |
6.0586236e-05 |
| 7,072 |
FedSQ: A Secure System for Federated Vector Similarity Queries |
2024 |
VLDB |
4.842703e-05 |
| 7,606 |
Tribase: A Vector Data Query Engine for Reliable and Lossless Pruning Compression using Triangle Inequalities |
2025 |
SIGMOD |
4.6967106e-05 |
| 8,509 |
The Journey to A Knowledgeable Assistant with Retrieval-Augmented Generation (RAG) |
2024 |
SIGMOD |
4.4952414e-05 |
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VLDB |
4.1945683e-05 |