Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees
Graph-based Retrieval-Augmented Generation (RAG) systems leverage interconnected knowledge structures to capture complex relationships that flat retrieval struggles with, enabling multi-hop reasoning. Yet most existing graph-based methods suffer from (i) heuristic designs lacking theoretical guarantees for subgraph quality or relevance and/or (ii) the use of static exploration strategies that ignore the query's holistic meaning, retrieving neighborhoods or communities regardless of intent. We propose Query-Aware Flow Diffusion RAG (QAFD-RAG), a training-free framework that dynamically adapts graph traversal to each query's holistic semantics. The central innovation is query-aware traversa...
| Authors | Zhuoping Zhou, Davoud Ataee Tarzanagh, Sima Didari et al. |
|---|---|
| Primary category | cs.IR |
| Published | 21 April 2026 |
| Last updated at source | 21 April 2026 |
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