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

Imagine asking a question to your favorite AI assistant, only to receive an outdated or incomplete answer. Frustrating, right? Large Language Models (LLMs) are undeniably powerful, but they have a ...

What is Retrieval-Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is an advanced AI technique combining language generation with real-time information retrieval, creating ...

Vectara’s new Open RAG Eval framework, developed in conjunction with researchers from the University of Waterloo, allows ...

Have you ever turned to artificial intelligence (AI) for answers and gotten a response that made you do a double-take? You’re not the only one. AI hallucination isn’t a sci-fi trope - it’s a ...

This is where retrieval-augmented generation (RAG) comes into play—a powerful AI framework that combines the strengths of retrieval-based and generative AI models to enhance ad recommendations ...