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Does Agentic RAG Actually Retrieve Better Evidence? I Tested It on 298 Questions

Does Agentic RAG Actually Retrieve Better Evidence? I Tested It on 298 Questions

Data Towards Data Science
Testing against 298 questions suggests that agentic RAG search strategies provide only marginal accuracy improvements over standard retrieval, often within the margin of noise.
What: The evaluation across 2,000 arXiv papers showed that giving an agent the ability to re-search or refine its query only gained 1.2 points in retrieval effectiveness, challenging the assumption that complex agentic loops are always superior.
Why it matters: This serves as a counter-narrative to the current industry trend of adding 'agentic' complexity to every RAG pipeline, suggesting that basic, well-optimized retrieval often delivers the vast majority of possible value.
Original article

Across 298 questions and 2,000 arXiv papers, letting an agent search again gained 1.2 points, within noise.

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