Databricks' Adaptive Instructed-Retriever lets AI agents decide how many times to search per question, matching frontier model quality in half the time.

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 ...

With customers asking increasingly complex questions of AI agents, Databricks is launching a model aimed at improving the accuracy of data retrieval systems.

Building highly reliable and performant data pipelines shouldn't be exhausting and resource-intensive. But for some organizations, the point of transforming data for downstream analytics and AI needs ...