Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.
From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...
Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...
Enhanced update management supports enterprise compliance and mission-critical workloads.
The evolution of data architecture is accelerating. In 2025, 85% of DBTA subscribers reported plans to modernize their data platforms—driven largely by the explosive rise of GenAI and large language ...
Guy joined Scientific Data in October 2021. Prior to that he was the Executive Editor for Data at the Royal Society of Chemistry with responsibility for managing chemical databases and setting ...
A comprehensive assessment of how transformation of dietary nutrients by the gut microbiota influences host health is needed. Systematic integration of 5,554 global gut metagenomes and various ...
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