VikingRAG: Token-efficient retrieval-augmented generation for structured documents

A new arXiv paper introduces VikingRAG, a retrieval-augmented generation approach aimed at cutting the number of tokens spent on structural context when working with structured documents. The authors note that current state-of-the-art RAG systems use document structure to gather better evidence but pay a high token cost for it, and their method targets that trade-off. The abstract excerpt provided does not detail the full technique or report benchmark results.