Retrieval Augmented Generation, The Foundational Ideas: Principles for architecting reliable and verifiable AI

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One of the biggest blockers for AI adoption, and the reason why many AI projects fail to generate promised efficiency gains, is that it's hard to know when AI is right and when it is wrong. Retrieval-augmented generation (RAG) grounds an LLM's answers in your content instead of whatever the model m...