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Similarity search in the blink of an eye with compressed indices
Summary: LVQ—per-vector scaling plus scalar quantization—for graph-based indices, cuts memory and effective bandwidth with negligible accuracy loss to accelerate similarity computations. With a new high-performance graph engine, LVQ is SOTA on billion-scale search: up to 20.7× throughput with ~3× lower memory, and 5.8× with 1.4× memory savings.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13177
- Venue
- VLDB
- Year
- 2023
- Pagerank
- 6.9215236e-05
- Overall Rank
- 3,609 | 74.90%
- DOI
-
10.14778/3611479.3611537
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 19 of 19 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 2,324 |
RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search |
2024 |
SIGMOD |
9.0326444e-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 |
| 5,184 |
SymphonyQG: Towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search |
2025 |
SIGMOD |
5.6406991e-05 |
| 7,837 |
GTI: Graph-based Tree Index with Logarithm Updates for Nearest Neighbor Search in High-Dimensional Spaces |
2025 |
VLDB |
4.6379694e-05 |
| 7,879 |
PDX: A Data Layout for Vector Similarity Search |
2025 |
SIGMOD |
4.6292417e-05 |
| 8,425 |
Efficient Dynamic Indexing for Range Filtered Approximate Nearest Neighbor Search |
2025 |
SIGMOD |
4.5163161e-05 |
| 8,439 |
Accelerating Graph Indexing for ANNS on Modern CPUs |
2025 |
SIGMOD |
4.5128946e-05 |
| 9,880 |
CoTra: Towards Efficient and Scalable Distributed Vector Search with RDMA |
2026 |
SIGMOD |
4.2643674e-05 |
| 10,042 |
Accelerating High-Dimensional ANN Search via Skipping Redundant Distance Computations |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,068 |
DiskJoin: Large-scale Vector Similarity Join with SSD |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,086 |
High-Throughput, Cost-Effective Billion-Scale Vector Search with a Single GPU |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,110 |
SAQ: Pushing the Limits of Vector Quantization through Code Adjustment and Dimension Segmentation |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,124 |
TRIM: Accelerating High-Dimensional Vector Similarity Search with Enhanced Triangle-Inequality-Based Pruning |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,165 |
Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,201 |
RAIRS: Optimizing Redundant Assignment and List Layout for IVF-Based ANN Search |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,204 |
Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views: [Experiments & Analysis] |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,237 |
Quantization Meets Projection: A Happy Marriage for Approximate k-Nearest Neighbor Search |
2026 |
VLDB |
4.1945683e-05 |
| 10,260 |
JHQ: Johnson-Lindenstrauss Enhanced Hierarchical Quantization for High-Dimensional Approximate Nearest Neighbor Search |
2026 |
VLDB |
4.1945683e-05 |
| 10,654 |
HAKES: Scalable Vector Database for Embedding Search Service |
2025 |
VLDB |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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