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Databricks shows multi-step AI agents outperform traditional RAG by 20%+ on hybrid data tasks, proving architecture—not model strength—is the limiting factor

Databricks' multi-step agentic approach achieved 20%+ performance gains over single-turn RAG baselines on Stanford's STaRK benchmark suite

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