Foundations of AI & Cybersecurity - Lesson 10: Retrieval Augmented Generation (RAG) - Vector Storage and Embeddings

This chapter explains how Retrieval-Augmented Generation, or RAG, makes AI more factual and trustworthy by connecting it to relevant external knowledge. It introduces embeddings as the way AI captures meaning in data and vector storage as the system that retrieves the right information quickly and securely. Together, they help reduce hallucinations, protect sensitive data, and improve control over AI-generated answers.

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