Retrieval-Augmented Generation

The Retrieval-Augmented Generation Process

What is Retrieval-Augmented Generation (RAG) ?

Retrieval-Augmented Generation (RAG) is a method for improving the accuracy and reliability of generative AI models by applying facts fetched from authoratitive sources.

The term RAG was coined in a 2020 paper entitled - "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks"

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