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cs.DB2026
Aker: Density-Aware Approximate Caching for Vector Search (Extended Version)
Sukjoon Oh, Minki Kang, Dohyun Kim +5
Disk-based approximate nearest neighbor search (ANNS) incurs high I/O overhead due to frequent disk accesses during index traversal. Approximate caching, which reuses the results o…
cs.DB2025
Towards Robustness: A Critique of Current Vector Database Assessments
Zikai Wang, Qianxi Zhang, Baotong Lu +2
Vector databases are critical infrastructure in AI systems, and average recall is the dominant metric for their evaluation. Both users and researchers rely on it to choose and opti…