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

Confluent's latest Confluent Intelligence features include support for both Anthropic's Model Context Protocol (MCP) and the Agent2Agent (A2A) protocol within Streaming Agents, plus a new multivariate ...

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.

It handles the millions of daily tasks—translation, tagging, and moderation—that require consistent, repeatable results ...