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

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.

At its Oracle CloudWorld user conference in Las Vegs, Oracle introduced Oracle Cloud Infrastructure (OCI) Generative AI (GenAI) Agents with retrieval-augmented generation (RAG) capabilities and ...

The Fast Company Executive Board is a private, fee-based network of influential leaders, experts, executives, and entrepreneurs who share their insights with our audience. BY Deon Nicholas AI agents ...

Have you ever found yourself frustrated with AI systems that confidently provide answers, only to realize they’re riddled with inaccuracies? It’s a common pain point for anyone working with generative ...

In the rapidly evolving landscape of enterprise AI, Multi-Agent Retrieval-Augmented Generation (MARS) systems are emerging as a cornerstone technology. These sophisticated systems, developed in ...

Recently, a new sentiment has emerged in AI security circles: "RAG is dead." I've observed firsthand how organizations are increasingly abandoning Retrieval-Augmented Generation (RAG) architectures in ...