New open-source evaluation framework quantifies RAG pipeline performance with scientific metrics, helping enterprises cut through the AI hype cycle with objective measurements.

agents and agentic AI. These terms are confusing. All the more so as the players do not yet agree on how to develop and deploy them. This is much less true for retrieval augmented generation (RAG ...

MediaTek believes that embedding agentic AI into home gateways could transform customer support and reduce costs for service ...

These aren’t necessarily theoretical risks. Retrieval augmented generation (RAG) is another emerging type of AI which, like agentic systems, is designed to overcome the limitations AI developers ...

Nexla’s agentic AI framework lets companies implement agentic RAG for agents and assistants without coding, using LLMs during each stage to improve accuracy. For example, Nexla can get context ...

Agentic AI, Retrieval-Augmented Generation (RAG), many other essential generative AI frameworks. Its curriculum is designed to help participants not only learn the foundations of AI, but also ...

Use Case: Augmented Call Center The augmented call center use case demonstrates how the Teradata Enterprise Vector Store uses agentic AI and RAG to transform customer service to be faster ...