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HAKES: Scalable Vector Database for Embedding Search Service
Summary: Introduces a two-stage ANN index using a fast compressed-vector filter plus a refine stage, with a lightweight ML tuner for index parameters and per-query early-termination to improve high-recall search on high‑dimensional embeddings. HAKES is a disaggregated vector DB that decouples learned-parameter management to support concurrent writes without hurting search, yielding superior high-recall quality and up to 16× higher throughput versus state-of-the-art indexes and distributed vector databases.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13941
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,654 | 25.89%
- DOI
-
10.14778/3746405.3746427
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No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 212 |
Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph |
2019 |
VLDB |
0.00033913475 |
| 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 |
| 1,269 |
Cache locality is not enough: High-Performance Nearest Neighbor Search with Product Quantization Fast Scan |
2016 |
VLDB |
0.00012930432 |
| 1,364 |
Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination |
2020 |
SIGMOD |
0.00012370117 |
| 2,262 |
Manu: A Cloud Native Vector Database Management System |
2022 |
VLDB |
9.1624446e-05 |
| 2,324 |
RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search |
2024 |
SIGMOD |
9.0326444e-05 |
| 2,690 |
Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment |
2024 |
SIGMOD |
8.293714e-05 |
| 2,811 |
High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations |
2023 |
SIGMOD |
8.0806307e-05 |
| 2,971 |
Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces |
2023 |
VLDB |
7.7970531e-05 |
| 3,400 |
ELPIS: Graph-Based Similarity Search for Scalable Data Science |
2023 |
VLDB |
7.1405533e-05 |
| 3,609 |
Similarity search in the blink of an eye with compressed indices |
2023 |
VLDB |
6.9215236e-05 |
| 4,243 |
Locality-Sensitive Hashing Scheme based on Longest Circular Co-Substring |
2020 |
SIGMOD |
6.32976e-05 |
| 5,551 |
LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System |
2022 |
VLDB |
5.4421769e-05 |
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