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

Alteryx is pushing analytics into the data lakehouse rather than pulling data out. Chief Product Officer Ben Canning explains why governance and business user access remain the real barriers to ...

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.

A demonstration of building a custom Model Context Protocol (MCP) server that connects to Databricks using FastMCP and the Databricks Python SDK. This server provides tools for executing SQL queries, ...