Why Retrieval Quality Is the Foundation of Successful RAG Systems

Retrieval quality is the critical bottleneck in RAG systems—a flawed retrieval pipeline will undermine even the most powerful LLM. Understanding metrics like Precision@K and Recall@K is essential for identifying and fixing retrieval problems before they cascade downstream. Teams building production RAG systems must prioritize retrieval testing as the foundation of their quality strategy.