With customers asking increasingly complex questions of AI agents, Databricks is launching a model aimed at improving the accuracy of data retrieval systems.
Adaptive Instructed-Retriever dynamically decides when queries need additional search steps, aiming to improve answer quality without driving up enterprise AI costs.
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