RAG vs. GraphRAG: A Systematic Evaluation and Key Insights

By Haoyu Han, Li Ma, Yu Wang, Harry Shomer, Yong-Jia Lei, Zhi-Sheng Qi, Kai Guo, Zhi-Gang Hua, Bo Long, Hui Liu and 2 more. 2025

Subfields: Retrieval-Augmented Generation, Evaluation & Benchmarks, Knowledge Graphs & Representation

Citations in the corpus

• GraphRAG on Consumer Hardware: Benchmarking Local LLMs for Healthcare EHR Schema Retrieval (2026, unknown): “Subsequent benchmarking efforts [17, 18] further show the advantages of graph-structured retrieval over standard RAG in complex query settings.”
• XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation (2026, unknown): “This enables the system to retrieve context that is not only topically relevant but also semantically coherent, as related entities are connected through meaningful paths in the graph (Edge et al., 2024; Han et al., 2025).”