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.

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 ...

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.

LONDON, UNITED KINGDOM, January 22, 2026 / EINPresswire.com / — New capabilities extend Salt’s discovery engine into the Agentic AI Action Layer and modern composable web architectures, providing the ...

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 ...

Of the databases on Databricks' platform, 80% are now being built by AI agents, not people. And these aren't all tech companies.

There is no shortage of AI benchmarks in the market today, with popular options like Humanity's Last Exam (HLE), ARC-AGI-2 and GDPval, among numerous others. AI agents excel at solving abstract math ...