Back to papers
Efficient Vector Index Merging in Vector Databases
Summary: HNSW-Merger: efficient merging of vector indexes in vector DBs, targeting a key bottleneck in index construction/updates. Two-stage search-based merge exploits existing proximity info via forward HNSW search + lazy backward direct-connect, with multicore/memory optimizations and multi-index support.
(summarized by gpt-5-mini on Apr 11 2026)
- Paper ID
- 7471
- Venue
- SIGMOD
- Year
- 2026
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,160 | 29.32%
- DOI
-
10.1145/3786645
Incoming Non-self Citations Over Time
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 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 |
| 34 |
Similarity Search in High Dimensions via Hashing |
1999 |
VLDB |
0.00076637636 |
| 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 |
| 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 |
| 3,400 |
ELPIS: Graph-Based Similarity Search for Scalable Data Science |
2023 |
VLDB |
7.1405533e-05 |
| 3,680 |
SingleStore-V: An Integrated Vector Database System in SingleStore |
2024 |
VLDB |
6.8496415e-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 |
| 4,862 |
Vexless: A Serverless Vector Data Management System Using Cloud Functions |
2024 |
SIGMOD |
5.8707776e-05 |
| 6,389 |
Chat2Data: An Interactive Data Analysis System with RAG, Vector Databases and LLMs |
2024 |
VLDB |
5.0844009e-05 |
| 8,245 |
MIRAGE-ANNS: Mixed Approach Graph-based Indexing for Approximate Nearest Neighbor Search |
2025 |
SIGMOD |
4.5514956e-05 |
| 8,687 |
TigerVector: Supporting Vector Search in Graph Databases for Advanced RAGs |
2025 |
SIGMOD |
4.4675056e-05 |
| 9,978 |
Fast Vector Search in PostgreSQL: A Decoupled Approach |
2026 |
CIDR |
4.1945683e-05 |
| 13,170 |
Vector Databases: What’s Really New and What’s Next? (VLDB 2024 Panel) |
2024 |
VLDB |
- |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 10,224 |
SVFusion: A CPU-GPU Co-Processing Architecture for Large-Scale Real-Time Vector Search |
2026 |
VLDB |
4.1945683e-05 |
| 8,485 |
Maximum Inner Product is Query-Scaled Nearest Neighbor |
2025 |
VLDB |
4.4999394e-05 |
| 10,273 |
An Experimental Evaluation of Hybrid Querying on Vectors |
2026 |
VLDB |
4.1945683e-05 |
| 10,683 |
Accelerating Approximate Nearest Neighbor Search in Hierarchical Graphs: Efficient Level Navigation with Shortcuts |
2025 |
VLDB |
4.1945683e-05 |
| 2,320 |
High-Throughput Vector Similarity Search in Knowledge Graphs |
2023 |
SIGMOD |
9.0366225e-05 |
| 10,158 |
Efficient and Robust Out-Of-Distribution Vector Similarity Search with Cross-Distribution Monotonic Graph |
2026 |
SIGMOD |
4.1945683e-05 |
| 8,439 |
Accelerating Graph Indexing for ANNS on Modern CPUs |
2025 |
SIGMOD |
4.5128946e-05 |
| 10,760 |
Turbocharging Vector Databases using Modern SSDs |
2025 |
VLDB |
4.1945683e-05 |
| 8,899 |
Fast Approximate Similarity Join in Vector Databases |
2025 |
SIGMOD |
4.427232e-05 |
| 10,166 |
FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor Search |
2026 |
SIGMOD |
4.1945683e-05 |