You’re Not an Engineer. Why Should You Care About RAG?

You're Not an Engineer. Why Should You Care About RAG?` is about Retrieval Augmented Generation (RAG), a technology that provides human-like responses in a matter of seconds by harnessing the power of deep learning tools. RAG offers a two-step approach, first retrieving relevant data from various sources and then generating accurate answers to prevent hallucinations. The author, Miluska Berta, emphasizes the importance of having a reliable RAG solution to ensure efficiency and accuracy in AI-powered applications. She also highlights the limitations of GenAI tools and the need for a trusted GPS tool like RAG to navigate complex data landscapes. By adopting RAG as a service, organizations can work smarter, not harder, and achieve better results in their AI endeavors.