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

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

Vectra is a state-of-the-art Agentic RAG Assistant designed to unify corporate knowledge. It bridges the gap between structured databases and unstructured documentation through a high-end, intuitive ...

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

This repository contains the official implementation of our uncertainty-aware multimodal RAG framework for cleft lip and palate (CL/P) assessment. The system combines: . ├── README.md # This file ├── ...