How We Built Agentic Retrieval at Ragie

Ragie developed deep-search, an agentic retrieval system that decomposes complex questions into sub-queries, employs multiple search strategies dynamically, and evaluates results for accuracy. The approach achieved 91% accuracy on a challenging financial analysis benchmark versus 45% for conventional RAG.