SIEVE: Effective Filtered Vector Search with Collection of Indexes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Zhaoheng, Huang, Silu, Ding, Wei, Park, Yongjoo, Chen, Jianjun
Format:	Preprint
Published:	2025
Subjects:	Databases Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cloud-Native Vector Search: A Comprehensive Performance Analysis
by: Li, Zhaoheng, et al.
Published: (2025)

AlayaLaser: Efficient Index Layout and Search Strategy for Large-scale High-dimensional Vector Similarity Search
by: Chen, Weijian, et al.
Published: (2026)

Curator: Efficient Vector Search with Low-Selectivity Filters
by: Jin, Yicheng, et al.
Published: (2026)

Compass: General Filtered Search across Vector and Structured Data
by: Ye, Chunxiao, et al.
Published: (2025)

Filtered Approximate Nearest Neighbor Search in Vector Databases: System Design and Performance Analysis
by: Amanbayev, Abylay, et al.
Published: (2026)

Multiple Index Merge for Approximate Nearest Neighbor Search
by: Jing, Liuchang, et al.
Published: (2026)

NaviX: A Native Vector Index Design for Graph DBMSs With Robust Predicate-Agnostic Search Performance
by: Sehgal, Gaurav, et al.
Published: (2025)

Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment
by: Wang, Mengzhao, et al.
Published: (2024)

TISIS : Trajectory Indexing for SImilarity Search
by: Jarrad, Sara, et al.
Published: (2024)

Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study
by: Li, Mocheng, et al.
Published: (2025)

JAG: Joint Attribute Graphs for Filtered Nearest Neighbor Search
by: Xu, Haike, et al.
Published: (2026)

OrchANN: A Unified I/O Orchestration Framework for Skewed Out-of-Core Vector Search
by: Huan, Chengying, et al.
Published: (2025)

An In-Depth Study of Filter-Agnostic Vector Search on a PostgreSQL Database System: [Experiments and Analysis]
by: Lu, Duo, et al.
Published: (2026)

HyEm: Query-Adaptive Hyperbolic Retrieval for Biomedical Ontologies via Euclidean Vector Indexing
by: Deng, Ou, et al.
Published: (2026)

Characterizing the Dilemma of Performance and Index Size in Billion-Scale Vector Search and Breaking It with Second-Tier Memory
by: Cheng, Rongxin, et al.
Published: (2024)

ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data
by: Patel, Liana, et al.
Published: (2024)

Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views
by: Chen, Tingyang, et al.
Published: (2025)

SIVF: GPU-Resident IVF Index for Streaming Vector Search
by: Zhao, Dongfang
Published: (2026)

Benchmarking Filtered Approximate Nearest Neighbor Search Algorithms on Transformer-based Embedding Vectors
by: Iff, Patrick, et al.
Published: (2025)

Generalized Range Filtering Approximate Nearest Neighbor Search: Containment and Overlap [Technical Report]
by: Liu, Yingfan, et al.
Published: (2026)

Cost-Effective, Low Latency Vector Search with Azure Cosmos DB
by: Upreti, Nitish, et al.
Published: (2025)

Efficient Vector Search in the Wild: One Model for Multi-K Queries
by: Peng, Yifan, et al.
Published: (2026)

GRAB-ANNS: High-Throughput Indexing and Hybrid Search via GPU-Native Bucketing
by: Zhao, Xinkui, et al.
Published: (2026)

QPAD: Quantile-Preserving Approximate Dimension Reduction for Nearest Neighbors Preservation in High-Dimensional Vector Search
by: Fu, Jiuzhou, et al.
Published: (2025)

The Binary Vector as the Basis of an Inverted Index File
by: King, Donald R.
Published: (1974)

Learning Filter-Aware Distance Metrics for Nearest Neighbor Search with Multiple Filters
by: Sutradhar, Ananya, et al.
Published: (2025)

A Super Fast K-means for Indexing Vector Embeddings
by: Kuffo, Leonardo, et al.
Published: (2026)

GEM: A Native Graph-based Index for Multi-Vector Retrieval
by: Tian, Yao, et al.
Published: (2026)

TELII: Temporal Event Level Inverted Indexing for Cohort Discovery on a Large Covid-19 EHR Dataset
by: Huang, Yan
Published: (2024)

From HNSW to Information-Theoretic Binarization: Rethinking the Architecture of Scalable Vector Search
by: Abtahi, Seyed Moein, et al.
Published: (2025)

Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search
by: Severo, Daniel, et al.
Published: (2025)

A Survey on Open Dataset Search in the LLM Era: Retrospectives and Perspectives
by: Li, Pengyue, et al.
Published: (2025)

CRouting: Reducing Expensive Distance Calls in Graph-Based Approximate Nearest Neighbor Search
by: Li, Zhenxin, et al.
Published: (2025)

RAIRS: Optimizing Redundant Assignment and List Layout for IVF-Based ANN Search
by: Yang, Zehai, et al.
Published: (2026)

Efficient Filtered-ANN via Learning-based Query Planning
by: Gan, Zhuocheng, et al.
Published: (2026)

LIRA: A Learning-based Query-aware Partition Framework for Large-scale ANN Search
by: Zeng, Ximu, et al.
Published: (2025)

WaZI: A Learned and Workload-aware Z-Index
by: Pai, Sachith, et al.
Published: (2023)

Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities
by: Ruan, Jiancheng, et al.
Published: (2025)

RAE: A Neural Network Dimensionality Reduction Method for Nearest Neighbors Preservation in Vector Search
by: Zhang, Han, et al.
Published: (2025)

Efficient Search in Graph Edit Distance: Metric Search Trees vs. Brute Force Verification
by: Guo, Wenqi Marshall, et al.
Published: (2024)