Lesson 11
Rerankers — The Low-Cost Pipeline Upgrade That Beats Bigger Embedding Models
Rerankers improve search quality by re-evaluating retrieved results before they reach the AI model. Instead of upgrading to larger and more expensive embedding models, many teams use rerankers to boost relevance, reduce hallucinations, and achieve better RAG performance at a lower cost.
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