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What is Retrieval-Augmented Generation (RAG)?

AI and LLMs ›RAG, embeddings and vector search
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What is Retrieval-Augmented Generation (RAG)?

Retrieval-Augmented Generation (RAG) is when an AI retrieves information from reliable sources to ensure its responses are factually accurate. It looks up trusted sources, then generates an answer based on that information, reducing guesswork and increasing accuracy.

Note: Full Article coming soon.

Thanks Anthony Cantelmo for you input, I ensure this content is easy to understand and digest.

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Venkata's "What is RAG Model?" diagram applied to SEO prioritization

First published on LinkedIn on Nov 8, 2024, 2:09 PM UTC (original). Kept here in full so it stays available; the media are this site's copies of the ones on LinkedIn, also in Venkata Pagadala - Universe.

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