Why Query Rewriting Outperforms Expensive RAG Upgrades

Most teams struggling with RAG retrieval accuracy reach for expensive solutions like better embedding models or neural rerankers. This guide reveals that query rewriting—reformulating user questions before retrieval—delivers superior recall at negligible cost. By using techniques like multi-query expansion and step-back rewriting, teams can dramatically improve search relevance without infrastructure changes or model upgrades.