AGENTIC-SYSTEMSJuly 23, 20261 min read

GraphContainer: A Unified Platform for Comparing and Debugging Graph RAG Methods

GraphContainer is a novel platform designed to unify and visualize diverse graph RAG workflows for LLMs. It features a Unified Graph Representation (UGR) layer and a Graph Recorder for live, traceable visual debugging and controlled comparison of graph retrieval strategies.

Computer Science > Artificial Intelligence

Title:GraphContainer: A Unified Platform for Comparing and Debugging Graph RAG Methods

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. To bridge this gap, we propose GraphContainer, a novel platform designed to unify and visualize diverse graph RAG workflows. GraphContainer features two key components: (1) a Unified Graph Representation (UGR) layer that seamlessly standardizes multi-format graphs, and (2) a Graph Recorder that tracks and visually renders the step-by-step retrieval process. Through an interactive web interface, we demonstrate GraphContainer's ability to import heterogeneous graphs and perform live, traceable visual debugging of graph RAG methods. Ultimately, we show how GraphContainer enables controlled comparisons of various graph formats and retrieval strategies, lowering the barrier for researchers and practitioners to design optimal graph RAG pipelines. A demonstration video is available at this https URL.

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Source: arXiv cs.AI Recent

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