Description
Adds k-nearest-neighbor search support to OpenSearch. It lets applications index vectors and find similar items, which is useful for semantic search, recommendations, and machine-learning features.
Use it when search needs similarity rather than only exact text matching. Vector indexes can require significant memory and CPU, so size the cluster and review model data before production use.