Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

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.

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.

Forbes contributors publish independent expert analyses and insights. Victor Dey is an analyst and writer covering AI and emerging tech. This voice experience is generated by AI. Learn more. This ...

Databricks announced on the 13th that it plans to unveil a demonstration version of its new no-code ETL (Extract, Transform, Load) feature, "Lakeflow Designer," which allows non-technical users to ...

Data is mixed. Inside modern enterprise IT stacks, it is quite standard to find data streams, data flows, data repositories and data connection channels that exist across various formats, platforms ...

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 ...

NEW YORK, May 30, 2025 (GLOBE NEWSWIRE) -- EXL [NASDAQ: EXLS], a leading data and AI company, expanded its partnership with Databricks, the data and AI company, to deploy a GenAI-enabled SAS to ...

Cyberattacks are becoming more advanced and widespread as attackers adopt AI. At the same time, many organizations struggle to use AI to respond effectively because of generic models and fragmented ...