AI RESEARCH
MINT: Multi-Vector Search Index Tuning
arXiv CS.AI
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ArXi:2504.20018v2 Announce Type: replace-cross Vector search plays a crucial role in many real-world applications. In addition to single-vector search, multi-vector search becomes important for multi-modal and multi-feature scenarios today. In a multi-vector database, each row is an item, each column represents a feature of items, and each cell is a high-dimensional vector. In multi-vector databases, the choice of indexes can have a significant impact on performance.