Databricks built a RAG agent it says can handle every kind of enterprise search

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

Your AI agents can talk to each other - but are they saying anything useful? Confluent Intelligence aims for insight

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 ...
WinBuzzer

New Databricks KARL RAG Agent Promises 33% Cost Reduction vs. Claude Opus 4.6

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

Google BigQuery Previews Cross-Region SQL Queries for Distributed Data

Google Cloud has recently announced the preview of a global queries feature for BigQuery. The new option lets developers run ...

Board Approves Higginsville Expansion Plan

Westgold Resources Limited (ASX: WGX) (TSX: WGX) (Westgold or the Company) is pleased to announce that its Board has approved ...
The Hacker News

⚡ Weekly Recap: Qualcomm 0-Day, iOS Exploit Chains, AirSnitch Attack & Vibe-Coded Malware

Your weekly cybersecurity roundup covering the latest threats, exploits, vulnerabilities, and security news you need to know.