FlashRAG provides 36 pre-processed RAG benchmark datasets and implementations of 23 state-of-the-art RAG algorithms, including 7 reasoning-based methods that combine reasoning with retrieval. It is designed to facilitate reproducible RAG research and supports rapid prototyping and evaluation of different retrieval-augmented generation approaches.