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VikingRAG: Accurate and Token-efficient Retrieval-augmented Generation over Structured Documents

Gao, Peiyuan et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagedatabasesinformation-retrievalmachine-learning
State-of-the-art retrieval-augmented generation (RAG) methods exploit document structures to acquire sufficient evidence, but often incur substantial token costs. To reduce structural-context tokens without compromising high RAG accuracy, we present {\sf VikingRAG}, a directory-aware semantic data m
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