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.
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 ...

Databricks streaming data ingestion service is now available

Databricks Inc. today announced the general availability of Zerobus Ingest, a new serverless service within its Lakeflow Connect suite that simplifies and accelerates real-time data ingestion into the ...