AI RESEARCH

MINT: Multi-Vector Search Index Tuning

arXiv CS.AI

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.