kNN search | Elastic Docs

Stack Serverless A k-nearest neighbor (kNN) search finds the k nearest vectors to a query vector, as measured by a similarity metric. Common use cases for kNN include: Search Semantic text search Image/video similarity Recommendations Product suggestions Collaborative filtering Content discovery Analysis Anomaly detection Pattern matching To run a kNN search, your data must be transformed into vec