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 that it has raised more than $7 billion in equity and debt financing to accelerate its growth efforts. The company first disclosed the investment late last year when it ...

Databricks announced the Databricks Lakebase is now generally available on AWS—introducing a new class of operational database that treats infrastructure as a flexible, on-demand service. According to ...

PCWorld reports that Microsoft’s Copilot AI holds only 1.1% of the web AI market share, declining from 1.5% over the past year. ChatGPT dominates with 64.5% market share while Google’s Gemini has ...

A Databricks App for generating, validating, and managing data quality rules using AI assistance with Databricks DQX.

BOSTON--(BUSINESS WIRE)--AtScale, the leader in enterprise semantic layer technology, today announced its integration with the Databricks MCP Marketplace. This partnership enables organizations to ...

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 ...

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 ...

Standards and guidelines for development co-operation with concrete examples of their implementation ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...