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

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 ...
SiliconANGLE

Connecting the dots on the emerging Databricks tech stack

The recent Databricks Data+AI Summit attracted a large audience and, like Snowflake Summit, featured a strong focus on large language models, unification and bringing AI to the data. While customers ...
CNBC

Databricks raises capital at $134 billion valuation in latest funding round

The 2026 CNBC Disruptor 50 list will be revealed Tuesday, May 19th Databricks said it is raising $4 billion at a $134 billion valuation to support AI app building. The valuation is a 34% jump from a ...
CRN

Databricks Looks To Disrupt Legacy Database Space With New ‘Lakebase’ Offering

Transactional database technology “hasn’t actually changed that much in the last 40 years” and is inadequate for today’s operational AI applications and agents, Databricks co-founder and CEO Ali ...