AINeutralarXiv – CS AI · Mar 267/10
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An In-Depth Study of Filter-Agnostic Vector Search on a PostgreSQL Database System: [Experiments and Analysis]
Researchers conducted the first comprehensive study of filter-agnostic vector search algorithms in a production PostgreSQL database system, revealing that real-world performance differs significantly from isolated library testing. The study found that system-level overheads often outweigh theoretical algorithmic benefits, with clustering-based approaches like ScaNN often outperforming graph-based methods like NaviX/ACORN in practice.