Machine learning and high dimensional vector search
Matthijs Douze

TL;DR
This paper explores the limited impact of machine learning on high-dimensional vector search, analyzing the reasons and connections between the two fields to understand their relationship.
Contribution
It provides an analysis of the reasons behind the limited influence of machine learning on vector search and discusses the connections between these fields.
Findings
Machine learning has not significantly impacted vector search.
The paper identifies barriers and bridges between the two fields.
It offers insights into the relationship between machine learning and vector search.
Abstract
Machine learning and vector search are two research topics that developed in parallel in nearby communities. However, unlike many other fields related to big data, machine learning has not significantly impacted vector search. In this opinion paper we attempt to explain this oddity. Along the way, we wander over the numerous bridges between the two fields.
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Taxonomy
TopicsFace and Expression Recognition · Metaheuristic Optimization Algorithms Research
