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 new solution eliminates wasted costs in Databricks — by using Sedai’s patented AI to understand and safely right-size clusters without manual tuning. Traditional tools provide recommendations for ...

Databricks®, the company founded by the the team that created the popular Apache® Spark™ project, announced that in collaboration with industry partners, it has broken the world record in the ...