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

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 ...

Plotly announces major update to AI-native data analytics platform Plotly Studio, turning data into production-ready ...

The team behind 100M+ open-source downloads unveils a secure Postgres platform that compiles Row-Level Security at table creation.SAN FRANCISCO, Feb. 11, ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Databricks is staying private a ...

On Monday, Databricks announced it reached a $5.4 billion revenue run rate, growing 65% year-over-year, of which more than $1.4 billion was from its AI products. Co-founder and CEO Ali Ghodsi wanted ...

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental. JITing, or “just-in-time” compilation, can make relatively slow ...

Latest valuation a jump from $100 billion in August Databricks surpasses $4.8 billion revenue run rate in Q3 Funds to be used to expand research and for talent retention Company delivers positive free ...

Four months after its last funding round, Databricks Inc. today announced that it has closed an extremely late-stage investment worth more than $4 billion. The Series L round was jointly led by ...

(Bloomberg/Mark Bergen and Brody Ford) — Databricks is raising over $4 billion in a new funding round that values the software firm at $134 billion, another example of how some tech companies are ...