Databricks unveils adaptive AI retrieval model to cut search costs and latency
This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.
Databricks on Wednesday introduced Adaptive Instructed-Retriever, a new retrieval model designed to improve enterprise AI search by taking additional steps for complex queries while stopping early on simpler ones in order to help its customers balance answer quality, latency, and cost. The new mode…
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- 2026-09-09 14:00 · InfoWorld AI
Databricks unveils adaptive AI retrieval model to cut search costs and latency