NashTech Blog

6 February 2025

Applied AI & ML, Technology Advisory

Retrieval Augmented Generation (RAG): What and Why

Retrieval-Augmented Generation (RAG) enhances AI by merging real-time information retrieval with content generation, addressing the limitations of traditional models that use only pre-trained data. It minimizes misinformation, keeps responses updated, and improves AI applications like chatbots and knowledge management, making AI responses more accurate and relevant across various industries.

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