GraphContainer: A Unified Platform for Comparing and Debugging Graph RAG Methods
However, existing approaches remain highly fragmented and incompatible. The structural heterogeneity of graph formats across different frameworks and the lack of granular visualization tools make it exceedingly difficult to evaluate and compare retrieval behaviors. To bridge this gap, we propose GraphContainer, a novel platform designed to unify and visualize diverse graph RAG workflows.
- ▪However, existing approaches remain highly fragmented and incompatible.
- ▪The structural heterogeneity of graph formats across different frameworks and the lack of granular visualization tools make it exceedingly difficult to evaluate and compare retrieval behaviors.
- ▪To bridge this gap, we propose GraphContainer, a novel platform designed to unify and visualize diverse graph RAG workflows.
Opening excerpt (first ~120 words) tap to expand
Computer Science > Artificial Intelligence arXiv:2607.19362 (cs) [Submitted on 5 Jun 2026] Title:GraphContainer: A Unified Platform for Comparing and Debugging Graph RAG Methods Authors:Seonho An, Chaejeong Hyun, Min-Soo Kim View a PDF of the paper titled GraphContainer: A Unified Platform for Comparing and Debugging Graph RAG Methods, by Seonho An and 2 other authors View PDF HTML (experimental) Abstract:Graph RAG mitigates hallucinations and stale knowledge in LLMs, particularly for multi-hop question answering. However, existing approaches remain highly fragmented and incompatible. The structural heterogeneity of graph formats across different frameworks and the lack of granular visualization tools make it exceedingly difficult to evaluate and compare retrieval behaviors.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv.org.
Discussion
0 commentsMore from arXiv.org
