GaussDB-Vector: A Large-Scale Persistent Real-Time Vector Database for LLM Applications
Summary: GaussDB-Vector is a persistent, distributed vector database combining low-latency scalable search with real-time updates, HA, and hybrid filtering. Its I/O-optimized graph-index storage and buffering, plus PQ and SIMD/GPU/NPU acceleration, deliver 1–5× speedups. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Ji Sun (Tsinghua University)
- 2. Guoliang Li (Tsinghua University)
- 3. James Pan (Tsinghua University)
- 4. Jiang Wang (Huawei)
- 5. Yongqing Xie (Huawei)
- 6. Ruicheng Liu (Huawei)
- 7. Wen Nie (Huawei)
BibTeX Citation
@article{sun_vldb25,
title = {{GaussDB-Vector: A Large-Scale Persistent Real-Time Vector Database for LLM Applications}},
author = {Sun, Ji and Li, Guoliang and Pan, James and Wang, Jiang and Xie, Yongqing and Liu, Ruicheng and Nie, Wen},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {4951--4963},
doi = {10.14778/3750601.3750619},
url = {https://doi.org/10.14778/3750601.3750619},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,206 | Bridging the Gap: Cardinality Estimation for Semantic Queries on Unstructured Data | 2026 | SIGMOD | 5.093636e-05 |
| 10,304 | VecBench: A Controllable Benchmark for Filtered Vector Search: [Experiments & Analysis] | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 93 | Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph | 2019 | VLDB | 0.00034701237 |
| 286 | Milvus: A Purpose-Built Vector Data Management System | 2021 | SIGMOD | 0.00022357911 |
| 398 | A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search | 2021 | VLDB | 0.00019194947 |
| 1,065 | PASE: PostgreSQL Ultra-High-Dimensional Approximate Nearest Neighbor Search Extension | 2020 | SIGMOD | 0.00012335063 |
| 2,920 | SingleStore-V: An Integrated Vector Database System in SingleStore | 2024 | VLDB | 7.9628307e-05 |
| 4,617 | Learned Cardinality Estimation for Similarity Queries | 2021 | SIGMOD | 6.604437e-05 |
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