LGFeb 24, 2025

Machine learning and high dimensional vector search

arXiv:2502.16931v11 citationsh-index: 48IEEE Data Engineering Bulletin
Originality Synthesis-oriented
AI Analysis

This is an incremental opinion piece that addresses a gap for researchers in machine learning and data retrieval.

The paper examines why machine learning has not significantly impacted vector search, despite their parallel development, by exploring the connections between the two fields.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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