Reranking is a refinement step in retrieval (RAG) where a more powerful model (Cross-Encoder) acts as a judge to re-score and re-order the results from a fast initial vector search, significantly improving precision.
Standard pipeline component in modern information retrieval.
Essential for reducing 'distractors' in RAG context.