Test-Time Strategies for More Efficient and Accurate Agentic RAG

Researchers improved agentic Retrieval-Augmented Generation (RAG) systems by introducing contextualization and de-duplication modules to address inefficiencies in complex question-answering. The enhanced Search-R1 pipeline achieved 5.6% better accuracy and 10.5% fewer retrieval turns using GPT-4.1-mini.