RAG Evidence Interfaces Impact Reader Performance and Support Utilization.

This paper explores the critical role of how retrieved information is presented to a language model in a Retrieval-Augmented Generation (RAG) system. The authors introduce the concept of "evidence interfaces" to describe the format and structure of the support provided to the reader component. Their findings indicate that simply retrieving relevant documents is not enough; the way this evidence is formatted and delivered significantly influences the reader's ability to utilize it effectively. The study highlights that failures in RAG systems can stem from either incomplete retrieval of the necessary information chain or from the reader's inability to properly process the available support due to a suboptimal interface. By comparing different evidence presentation methods, the research demonstrates that ensuring the complete support chain is present and optimizing its interface can lead to substantial improvements in RAG performance, even matching or exceeding raw context quality with shorter, ranked windows.