Retrieval-Augmented Generation (RAG) simply explained
Read OriginalThis article demystifies Retrieval-Augmented Generation (RAG), a popular AI technique. It explains how RAG combines Large Language Models (LLMs) with external data sources via context windows and vector databases to provide accurate, up-to-date answers without retraining the model, using relatable examples like meal planning.
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