MMGraphRAG: Bridging Vision and Language with Interpretable Multimodal Knowledge Graphs

ArXi:2507.20804v2 Announce Type: replace Large Language Models (LLMs) often suffer from hallucinations, which Retrieval-Augmented Generation (RAG) and GraphRAG mitigate by incorporating external knowledge and knowledge graphs (KGs). However, GraphRAG remains text-centric due to the difficulty of constructing fine-grained Multimodal KGs (MMKGs). Existing fusion methods, such as shared embeddings or captioning, require task-specific