Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

Despite widespread industry recommendations, a new ETH Zurich paper concludes that AGENTS.md files may often hinder AI coding agents. The researchers recommend omitting LLM-generated context files ...

Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data with Python.

PyTest Fixtures are a powerful way to manage test setup and teardown in Python. This library provides a set of fixtures to help you write integration tests for Databricks. These fixtures were ...

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

Explore the leading data orchestration platforms for 2026 with quick comparisons, practical selection tips, and implementation guidance to keep your data pipelines reliable and scalable.

Are you ready to build the data backbone behind one of the world’s most iconic alcohol brands? Our client a global powerhouse in brewing, manufacturing, and distribution is looking for a Senior Data ...

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.

Discover the 7 best cloud orchestration tools for enterprises in 2026, including AWS CloudFormation, Ansible, Spacelift, CloudBolt, and more. Compare features, pricing, multi-cloud support, and use ...

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

San Francisco-based data and AI focused firm Databricks noted this past week that it has delivered steady results, announcing on February 9, 2026, that it has exceeded a $5.4 billion annual revenue ...