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.

Two days to a working application. Three minutes to a live hotfix. Fifty thousand lines of code with comprehensive tests.

A North Dakota energy financing board voted to recommend funding for projects that aim to enhance mineral processing and battery development in the state.