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.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

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

The loss of major health surveys once backed by the United States Agency for International Development and proposed cuts to environmental programs threaten the tracking of sustainable development.