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Orchestrating Specialized Agents for Trustworthy Enterprise RAG

You, Xincheng et al.
arXiv (All) · Papers
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information-retrieval
Retrieval-Augmented Generation (RAG) shows promise for enterprise knowledge work, yet it often underperforms in high-stakes decision settings that require deep synthesis, strict traceability, and recovery from underspecified prompts. One-pass retrieval-and-write pipelines frequently yield shallow su
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