Tribase: A Vector Data Query Engine for Reliable and Lossless Pruning Compression using Triangle Inequalities
Summary: Tribase refines clustered ANNS by subdividing clusters with diverse distance metrics to boost granularity and cut query cost. Triangle inequalities enable reliable, lossless pruning across vectors, delivering up to 10x speedups and 99.4% pruning. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Qian Xu
- 2. Juan Yang
- 3. Feng Zhang
- 4. Junda Pan
- 5. Kang Chen
- 6. Youren Shen
- 7. Amelie Chi Zhou
- 8. Xiaoyong Du
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,544 | A Topology-Aware Localized Update Strategy for Graph-Based ANN Index | 2026 | VLDB | 4.7149033e-05 |
| 9,879 | HARMONY: A Scalable Distributed Vector Database for High-Throughput Approximate Nearest Neighbor Search | 2026 | SIGMOD | 4.2643674e-05 |
| 10,071 | Dynamically Detect and Fix Hardness for Efficient Approximate Nearest Neighbor Search | 2026 | SIGMOD | 4.1945683e-05 |
| 10,124 | TRIM: Accelerating High-Dimensional Vector Similarity Search with Enhanced Triangle-Inequality-Based Pruning | 2026 | SIGMOD | 4.1945683e-05 |
| 10,711 | Cracking Vector Search Indexes | 2025 | VLDB | 4.1945683e-05 |
| 10,841 | Filtered Vector Search: State-of-the-art and Research Opportunities | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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