ColGraphRAG: Late-Interaction Evidence Retrieval for Multimodal GraphRAG

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Researchers have introduced ColGraphRAG, which swaps standard single-vector retrieval for late-interaction scoring across multimodal graphs. By using ColPali-style multi-vector alignment, the system better captures fine-grained details in images and tables that traditional embeddings miss. This significantly boosts the accuracy of complex, graph-grounded reasoning tasks in RAG pipelines.