Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents
via venturebeat.com
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Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation counts alongside academic papers, break single-turn RAG systems. New research from Databricks puts a number on that failure gap. The company’s AI research team tested a multi-step […]