AI NEWS CENTRAL

MMGraph-Agent: Agentic Multimodal RAG via Cache-Inspired Multimodal Knowledge HyperGraphs

arXiv cs.AI · Haoran Luo, Ziyue Zhu, Shangyang Wu, Linhao Luo, Yikai Guo, Qika Lin, Fangzhi Xu, Jiapu Wang, Xiaobao Wu, Yifan Zhu, Luu Anh Tuan ·

arXiv:2611.10657v1 Announce Type: new Abstract: Driven by increasingly complex real-world applications, Retrieval-Augmented Generation (RAG) has evolved from textual pipelines to multimodal settings, comprising two complementary dimensions: knowledge organization and retrieval enhancement. However, existing methods…

Excerpt provided by arXiv cs.AI via its public feed. Full reporting belongs to the original publisher.

Read the full story on arXiv cs.AI

Related coverage