GaussDB-Vector: A Large-Scale Persistent Real-Time Vector Database for LLM Applications
Summary: GaussDB-Vector: a persistent, real-time vector DB with a graph-index-optimized storage architecture and novel buffering to enable low-latency scalable search, real-time inserts/deletes, and high availability. Supports PQ, parallel search and SIMD/GPU/NPU acceleration for 1–5× throughput improvements. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Ji Sun
- 2. Guoliang Li
- 3. James Pan
- 4. Jiang Wang
- 5. Yongqing Xie
- 6. Ruicheng Liu
- 7. Wen Nie
Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 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 |
| 770 | A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search | 2021 | VLDB | 0.00016917602 |
| 1,636 | PASE: PostgreSQL Ultra-High-Dimensional Approximate Nearest Neighbor Search Extension | 2020 | SIGMOD | 0.00011053863 |
| 3,680 | SingleStore-V: An Integrated Vector Database System in SingleStore | 2024 | VLDB | 6.8496415e-05 |
| 5,469 | Learned Cardinality Estimation for Similarity Queries | 2021 | SIGMOD | 5.4898192e-05 |
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