Artificial Intelligence

Retrieval-Augmented Generation (RAG)

Also known as: RAG & Retrieval-Augmented Generation

Definition

combines a language with external retrieval to improve accuracy and relevance of outputs.

In practice

Used to pull in real-time or domain-specific before generating .

The reality

RAG improves accuracy but adds complexity and depends on the quality of the .

Also known as

RAG & Retrieval-Augmented Generation

Plain English

AI that looks things up before answering.

FAQ

Common questions

A few practical answers to the questions that usually come up around this term.

What is RAG in AI?

It is a method that combines retrieval of with generation of .

Why is RAG used?

To improve accuracy and reduce hallucinations.

What does RAG require?

A and a retrieval .

Is RAG better than standard AI models?

It can be for tasks requiring up-to-date or specific information.

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Will Parkhouse

Senior Content Designer

01/20