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

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Many Caribbean professionals search for “remote jobs” but leave the location filter set to “United States.” They then apply to roles requiring US work authorisation — and are automatically rejected.

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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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AI is reshaping online search in ways that reduce friction for consumers while increasing it for businesses. Large language models such as ChatGPT and Copilot now function as answer engines, ...

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