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.
Forbes contributors publish independent expert analyses and insights. Victor Dey is an analyst and writer covering AI and emerging tech. This voice experience is generated by AI. Learn more. This ...
Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.
The 2026 CNBC Disruptor 50 list will be revealed Tuesday, May 19th Databricks, which offers companies tools for building agents on top of their data, plans to spend at least $100 million over multiple ...
Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...
Databricks Inc. today announced the general availability of Zerobus Ingest, a new serverless service within its Lakeflow Connect suite that simplifies and accelerates real-time data ingestion into the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results