标签
This paper proposes SAG, a SQL-retrieval augmented generation architecture that organizes documents into event-entity hyperedges without building a global knowledge graph, enabling query-time dynamic linking of evidence chunks for multi-hop QA. It reports state-of-the-art retrieval and QA performance on HotpotQA, 2WikiMultiHopQA, and MuSiQue benchmarks.