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

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VS Code's AI Toolkit and Microsoft Foundry can speed up agent development, but real-world success often depends on picking the right runtime and region, keeping tool-driven context under control, and ...

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.

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