InfoWorld

Run Databricks Queries in Up to 76% Less Time and Reduce Costs with Amazon® R5d Instances Featuring 2nd Gen Intel® Xeon® Scalable Processors

Many organizations rely on Databricks’ Lakehouse Platform for storing and analyzing data, both structured and unstructured. To run your decision support queries quickly, it is important to select ...
ZDNet

Data Lakehouse, meet fast queries and visualization: Databricks unveils Delta Engine, acquires Redash

Databricks announced today two significant additions to its Unified Data Analytics Platform: Delta Engine, a high-performance query engine on cloud data lakes, and Redash, an open-source dashboarding ...
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 ...

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.