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

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.

After building an AI prototype in six hours, John Winsor turned it into a full platform in two weeks—showing how AI is collapsing the gap between vision and execution.

The new open-source repository delivers structured skills, slash commands, and production-ready cookbooks to reduce AI coding errors and speed up Weaviate-based application development.

Morgan Stanley Technology, Media & Telecom Conference 2026 March 3, 2026 3:20 PM ESTCompany ParticipantsJohn Ederer - ...

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.

Endee.io launches Endee, an open source vector database delivering fast, accurate, and cost-efficient AI and semantic search at scale. Endee rethinks vector DBs for high recall, low latency, and low ...

Learn how to understand and compute line integrals in vector fields using both Python and traditional paper methods! This video walks you step by step through the concepts of line integrals, ...

The open source MySQL spin-off has steadily added features all its own. Here are five good reasons to switch to MariaDB.