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

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Databricks said it raised $5 billion in funding and $2 billion in new debt capacity at a $134 billion valuation. The company also said its annualized revenue exceeded $5.4 billion for the January ...

Here’s a little secret for you: The next wave of AI success is going to be completely dependent on structured data. Maybe that’s a no-brainer to you. Maybe I’m telling you that the next time you take ...

WAYNE, PA, UNITED STATES, February 11, 2026 /EINPresswire.com/ — PurpleLab ®, the healthtech company empowering teams to leverage insights that improve health ...

By moving Cortex into dbt and Airflow, Snowflake is aiming to eliminate context switching and pull AI closer to production ...

With over 100,000 physicians having contributed to the most comprehensive salary survey database, Medscape's annual Physician Compensation Survey is the gold standard for physician salary information ...

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.