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

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.
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.
Longview News-Journal

Databricks Unveils New Mosaic AI Capabilities to Help Customers Build Production-Quality AI Systems and Applications

Databricks is introducing several new capabilities to help customers deploy enterprise-ready compound AI systems. RAG is a type of compound AI system, because it uses multiple components like a vector ...
InfoWorld

Buyer’s guide: Comparing the leading cloud data platforms

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...