Final project report: This project delivered ReproRAG, a comprehensive framework to benchmark reproducibility in Retrieval-Augmented Generation systems. Our large-scale empirical study reveals that core retrieval algorithms like FAISS are perfectly deterministic under controlled conditions, falsifying a common assumption. We identified the true, dominant sources of uncertainty as the choice of embedding model and dynamic data changes, establishing a clear hierarchy of reproducibility challenges.
