Retrieval-augmented generation
KG-RAG
KG-RAG: Bridging the Gap Between Knowledge and Creativity
Superseded baseline#99 of 1,179 most-superseded · first seen May 20, 2024
Superseded — cited as a baseline and beaten by newer methods
0 papers critique it · 2 beat it on benchmarks
Beaten on benchmarks
Head-to-head results where a newer method reports beating KG-RAG. Values are copied from the source paper's tables — verify against the cited paper.
MG²-RAG beats KG-RAG
38.40 vs 31.30
InfoSeek Unseen-E · [Qwen3.5-27B backbone]
MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented GenerationPilot beats KG-RAG
80.16 vs 76.05
Correct · [KG-RAG (Qwen1.5-7B)]
A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation
What to use instead
Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.
- Apr 7, 2026
- Graph-to-Frame RAGGraph-to-Frame RAG: Visual-Space Knowledge Fusion for Training-Free and Auditable Video ReasoningApr 6, 2026
- Apr 4, 2026
- AutoThinkRAGAutothinkRAG: Complexity-Aware Control of Retrieval-Augmented Reasoning for Image-Text InteractionMar 17, 2026
- Feb 27, 2026
- VimRAGVimRAG: Navigating Massive Visual Context in Retrieval-Augmented Generation via Multimodal Memory GraphFeb 13, 2026
- Feb 5, 2026
- Feb 1, 2026
- Oct 8, 2025