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.
The results were fascinating, impressive, and sometimes surprisingly bad. Here are five tips that can help you get better results faster.
Deka Immobilien has signed a long-term lease with Databricks for around 13,000 square meters of office space in ‘The Rock,’ a landmark office building in Amsterdam’s Zuidas district. The property is ...
Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...
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