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.

Silicon Valley, CA, March 05, 2026 (GLOBE NEWSWIRE) -- Resilinc, the leading provider of agentic AI-driven supply chain risk and compliance intelligence, today announced it has architected its ...

Databricks launched Lakebase today, a new database designed for enterprises and developers to build data applications and artificial intelligence agents on a single multi-cloud platform. Lakebase is ...

Enterprises are going all in on compound AI agents. They want these systems to reason and handle different tasks in different domains, but are often stifled by the complex and time-consuming process ...

SourceFuse partners with Databricks to help enterprises modernize data platforms, unlock AI & GenAI capabilities, ...

(Reuters) -Databricks will acquire machine learning startup Tecton to expand its AI agent offerings, the latest in a string of deals aimed at offering full-scale AI building tools for enterprise ...

The artificial intelligence era won’t be decided only by providers of large language models such as OpenAI. Databricks made a big play at its annual Data+AI Summit in San Francisco this week to lead ...

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

(Reuters) - Databricks said on Wednesday it would buy database startup Neon in a deal valued at about $1 billion, aiming to strengthen its analytics platform with technology that can help businesses ...

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 ...