UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities
DGX agentarXiv:2504.20734v4 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) has shown substantial promise in improving factual accuracy by grounding model responses with external kn