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Fast Adaptive Approximate Nearest Neighbor Search with Cluster-Shaped Indices

In this study, we propose a novel adaptive algorithm for approximate nearest neighbor (ANN) search, based on the inverted file (IVF) index (cluster-based index) and online query complexity classification. The concept of the classical IVF search implemented in vector databases is as follows: all data...

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Principais autores: Vladimir Kazakovtsev, Mikhail Plekhanov, Alexandr Naumchev, Guzel Shkaberina, Igor Masich, Lyudmila Egorova, Alena Stupina, Aleksey Popov, Lev Kazakovtsev
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-10-01
coleção:Big Data and Cognitive Computing
Assuntos:
approximate nearest neighbors
inverted file index
vector databases
adaptive search
Acesso em linha:https://www.mdpi.com/2504-2289/9/10/254
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