Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...

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

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

SAN FRANCISCO, May 27, 2026--(BUSINESS WIRE)--Unravel Data, the data platform optimization company, today unveiled Arvix AI, an agentic engine that autonomously tunes and optimizes across Databricks, ...

Databricks is buying Tabular, a small startup that helps companies optimize data they store in the cloud with the Apache Iceberg format. The news comes in the middle of Snowflake's summit, where the ...

Retriever, a retrieval model that determines on a per-query basis whether additional search steps are needed. Simple queries ...

Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said. Data lakehouse provider Databricks has unveiled a new large language ...

Databricks has announced the public preview launch of Query Tags, a new capability for Databricks SQL that allows organizations to attach custom business context as key-value pairs to every SQL ...