RAG-Driven Generative AI - Second Edition

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Why Retrieval-Augmented Generation?

Even the most advanced and well-trained generative AI models simply cannot answer a question about information it has no access to, and often, these models don't know that they don't know. This leads to inaccurate outputs, sometimes called hallucinations, bias, or simply incoherent output. Retrieval-Augmented Generation (RAG) is that framework that provides a generative AI model with the knowledge it lacks.

Generative AI models integrated with RAG retrievers are revolutionizing the field with their unprecedented efficiency and power. However, this revolution has evolved into two distinct generations. In the first generation, project managers faced a fragmented landscape, navigating generative AI platforms ...