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Understanding RAG (Retrieval-Augmented Generation)

A simple explanation of how AI models can 'look up' information they weren't trained on, like an open-book test.

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Why Use RAG?

1.  **Accuracy**: The AI is less likely to make things up (hallucinate) because it has the facts right in front of it.
2.  **Freshness**: You can add a new document today, and the AI can answer questions about it immediately. You don't have to re-train the whole brain.
3.  **Privacy**: You can keep your private data in your own "library" and just show it to the AI when needed, instead of sending it all to a public model company.
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