Reranking
Updated · Tech checked
A second-stage retrieval step that reorders candidate documents with a more precise (often slower) model to improve top-k quality.
Typical hybrid setup: cheap recall (BM25 + vectors) → rerank top 50 → top 5 to the generator. Measure whether reranking beats your baseline - sometimes it doesn't, and that's a finding worth publishing.