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.

Sigma, a leader in AI applications for business, today announced preliminary business results for the fiscal year ending January 31, 2026, highlighting record momentum in revenue and customer adoption ...

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

Abstract: Currently, the popularity of large language models (LLMs) for instance, ChatGPT from OpenAI and Gemini from Google is increasing greatly in our lives, due to their unparalleled performance ...

Ready-to-use configurations for Anthropic's Claude Code. A comprehensive collection of AI agents, custom commands, settings, hooks, external integrations (MCPs), and project templates to enhance your ...

Public cloud spending is on a steep curve, rising from $595.7 billion in 2024 to $723.4 billion in 2025, and the fastest growing line items are often the ones n ...

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 ...

Company plans to use funds to accelerate AI database, Genie assistant JPMorgan Chase leads $2 billion debt financing Databricks' AI products cross $1.4 billion in annualized revenue Feb 9 (Reuters) - ...