AI21 Maestro’s accuracy fix for RAG’s blind spots

Traditional Retrieval-Augmented Generation (RAG) systems often fail on complex enterprise queries, leading to incomplete or unreliable answers. Structured RAG (S-RAG) addresses these shortcomings by transforming unstructured documents into a structured, relational database offline. At query time, it uses SQL to retrieve and reason over the structured data, enabling precise and auditable answers to analytical questions. This method, integrated into the AI21 Maestro system, significantly improves accuracy and recall for mission-critical workflows in areas like finance and compliance.