Choosing a Distance Metric for Embeddings

Generative AI Development · part of The Exam Room The situation A team has built a retrieval-augmented feature on Amazon Bedrock. Documents are chunked, run through an embedding model to produce vectors, and stored in an OpenSearch k-NN Nearest-neighbour search Finding the vectors closest to a query vector; at scale it’s approximated, trading a little accuracy for a lot of speed. index; at query…