VikingRAG matches top RAG accuracy using just 5-33% of tokens via directory-aware retrieval
_reachsumit · x · 2026-09-11
A new arXiv paper introduces VikingRAG, a directory-aware semantic data management system for token-efficient RAG over structured documents:
- Core idea: expose only relevant directory segments during retrieval instead of full hierarchies, with evidence-gap-driven multi-round retrieval that preserves accuracy while cutting structural-context tokens.
- Trace reuse: agentic multi-round retrieval traces are materialized as experience edges and reused for similar queries, avoiding repeated exploration.
- Adaptive escalation: answer from one-round experience-augmented retrieval when evidence suffices; invoke agentic multi-round retrieval only otherwise.
- Results: the base system matches state-of-the-art accuracy using 11.6%-51.9% of their tokens; with trace reuse and adaptive escalation, token costs drop to 5.1%-32.5% while staying competitive.
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