SelfGraphRAG: Bridging the Supervision Gap in Graph-Based RAG with Synthetic QA Generation
SelfGraphRAG, a framework that generates question-answer pairs directly from knowledge graph structure and uses them to train a query-conditioned graph retriever, suggests that knowledge graph structure can provide useful supervision for training graph retrievers when labeled data are unavailable.