HNSW and Vector Search: Finding Nearest Neighbors Efficiently
HNSW is an effective method for finding nearest neighbors in vector search systems.
HNSW is a graph-based structure used for vector search that efficiently finds nearest neighbors. By utilizing a hierarchical graph, it significantly reduces search time, providing results in 2 milliseconds even among 2 million documents. This method is crucial for applications requiring rapid response times.