The author presents a dataset creation and evaluation workflow for Retrieval Augmented Generation (RAG) systems, aiming to quantitatively compare different RAG strategies and improve token efficiency in LLM setups.
RAG systems require rigorous dataset creation and evaluation to compare strategies effectively.