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.
Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...
Databricks has launched Zerobus Ingest, a serverless service that streams data directly to the lakehouse. The solution is designed to eliminate the ...
Automation and integration were key themes at Databricks’ annual customer conference, as it showed off new generative and agentic AI features coming to its cloud data lakehouse platform. At Databricks ...
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