Vector Databases: What’s Really New and What’s Next? (VLDB 2024 Panel)
Summary: A VLDB panel disentangles today’s “vector databases” from two decades of vector-similarity indexing, asking what is genuinely new. Experts examine future directions and databases’ broader role in GenAI, including integration across specialized and relational systems. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Jianguo Wang (Purdue University)
- 2. Eric Hanson (SingleStore)
- 3. Guoliang Li (Tsinghua University)
- 4. Yannis Papakonstantinou (Google)
- 5. Harsha Simhadri (Microsoft)
- 6. Charles Xie (Zilliz)
BibTeX Citation
@article{wang_vldb24,
title = {{Vector Databases: What’s Really New and What’s Next? (VLDB 2024 Panel)}},
author = {Wang, Jianguo and Hanson, Eric and Li, Guoliang and Papakonstantinou, Yannis and Simhadri, Harsha and Xie, Charles},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4505--4506},
doi = {10.14778/3685800.3685911},
url = {https://doi.org/10.14778/3685800.3685911},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,920 | SingleStore-V: An Integrated Vector Database System in SingleStore | 2024 | VLDB | 7.9628307e-05 |
| 8,466 | TigerVector: Supporting Vector Search in Graph Databases for Advanced RAGs | 2025 | SIGMOD | 5.4188627e-05 |
| 8,781 | Fast Vector Search in PostgreSQL: A Decoupled Approach | 2026 | CIDR | 5.374155e-05 |
| 10,449 | Efficient Vector Index Merging in Vector Databases | 2026 | SIGMOD | 5.093636e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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