Applied AI·Embeddings and retrieval
you fetch fifty candidates cheaply and then have a slower, better model reorder them before you show the top five.
Reranking
Draft summary, pending review
A second pass: retrieve a generous candidate set (say 50) with fast search, then rescore the top of it with a slower, more accurate model and keep the best few. Cheap first pass for recall, expensive second pass for precision.