Implementation and experimental evaluation of mint for workload-aware approximate nearest neighbor index tuning in multi-vector databases
Approximate nearest neighbor (ANN) search is an integral part of contemporary vector databases; however, the performance of this algorithm highly depends on the specifics of data, recall requirements, storage capabilities, and query workload. All these factors complicate ANN even further in multi-vector databases, wher...