Databricks built a RAG agent it says can handle every kind of enterprise search

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

New Databricks KARL RAG Agent Promises 33% Cost Reduction vs. Claude Opus 4.6

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...
AOL

Want AI agents to work better? Improve the way they retrieve information, Databricks says

Hello and welcome to Eye on AI. In this edition…Nvidia snags the team and tech from AI chip startup Groq…Meta buys Manus AI…AI gets better at improving AI…but we might not know enough about the brain ...
SiliconANGLE

Databricks broadly boosts support for AI model training

Databricks Inc. today announced several enhancements to its Mosaic AI toolset for building and deploying artificial intelligence models that specifically target generative AI applications. The ...
Diginomica

Something for the weekend - why enterprise AI progress is not where the industry thinks! Time to chow down on some snake tail?

Enterprise AI is often described as a pipeline. Data goes in, answers come out. In practice, it behaves more like a feedback loop. Each time organizations add new data sources, tools, and constraints, ...