Vector search is incredibly fast due to its use of Approximate Nearest Neighbor (ANN) algorithms, which trade off a bit of accuracy for significant speed gains. These algorithms maintain good performance on large-scale datasets and allow for efficient vector searches. Weaviate, a vector database, uses ANN algorithms like HNSW to offer ultra-fast queries while maintaining high recall rates, throughput, and low latency.