Author

Daichi Amagata

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Preprint Oct 2026

Grant: A Framework for Approximate Nearest Neighbor Search with Multi-Attribute Range Filters

Recently, academia and industry have considered the problem of approximate nearest neighbor search (ANNS) with filters. In this setting, each object consists of a high-dimensional vector and attribute values. Given a query vector, filters for attribute values, and $k$, this problem retrieves $k$ vectors approximately n...

Daichi Amagata · 0 citations

Jul 2026

Simple and Fast Algorithm for Graph-based Filtered Approximate Nearest Neighbor Search (Full Version)

This work proposes a new algorithm, called filtered approximate nearest neighbor search, that retrieves approximate nearest neighbors from a set of objects that have the specified attribute values and demonstrates the efficiency of this algorithm.

Reon Uemura, Keito Kido, Daichi Amagata · arXiv.org · 0 citations