Researchers introduce RAFT, a stateful retrieval-augmented generation framework for troubleshooting agents, addressing the limitations of existing RAG systems. RAFT abstracts historical cases as directed chains and retrieves cases with matching intermediate states, improving case hit rates compared to vanilla and GraphRAG baselines.