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Minki Kang

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Open access Jun 2026

Aker: Density-Aware Approximate Caching for Vector Search

Aker is presented, an approximate cache for disk-based ANNS that implements a low-overhead refresh mechanism that bounds cache staleness while preserving search accuracy and integrates into pgvector and is evaluated on representative workloads.

Sukjoon Oh, Minki Kang, Dohyun Kim et al. · 0 citations

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