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.
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 ...
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.
InfoWorld

Azure Databricks previews parallelized Photon query engine

Microsoft has unveiled a preview of a C++-based vectorized query engine for the Azure Databricks cloud analytics and AI service based on Apache Spark. Azure Databricks, which is delivered in ...
Business Wire

AtScale Powers Databricks Genie with Semantic Layer Delivering Accurate and Trusted Natural ...

BOSTON--(BUSINESS WIRE)--AtScale, a leader in semantic layer technology, today announced its groundbreaking integration with Databricks Genie, bringing powerful natural language querying to the ...
North Penn Now

The Core Benefits of Working with a Certified Databricks Consulting Partner

Working with a certified implementation partner is a risk mitigation strategy that ensures the Lakehouse is not only deployed but also optimized for scalability, security, and cost efficiency from day ...