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

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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 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 ...

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

AIStor Table Sharing reflects how enterprises actually operate today: multi-format, hybrid, and at massive scale. By supporting both Delta and Apache Iceberg (TM) tables, MinIO avoids locking ...

SYDNEY, Australia — February 10, 2026 — Databricks, the Data and AI company, today announced it crossed a $5.4 billion revenue run-rate, delivering >65% year-over-year growth during its Q4. Building ...

Databricks reported several financial achievements in Q4, including delivering positive free cash flow over the past 12 months and crossing $1.4 billion revenue run-rate for its AI products.