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.
Security Boulevard

Building a RAG system on Databricks with your unstructured data using Tonic Textual

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.
WinBuzzer

Databricks KARL Agent Tackles All Enterprise Search Types via RL

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.
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 ...
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, ...
dbta

Defining and Cultivating an ‘AI-Ready’ Enterprise with Informatica and Databricks

Cultivating an AI-ready enterprise begins at the level of data. Without a trusted, robust data foundation—and a blueprint for developing one—AI initiatives will lose their technological footing. With ...