What is RAG?
Retrieval-augmented generation that combines AI with a knowledge base.
Understanding RAG
RAG (retrieval-augmented generation) is a technique where a model retrieves relevant information from a database and uses it to generate more accurate responses.
In marketing, RAG allows AI systems to use brand guidelines, campaign results, and product data as context, producing outputs that are grounded and consistent.
Frequently Asked Questions
What is RAG?
Retrieval-augmented generation that combines AI with a knowledge base.
RAG (retrieval-augmented generation) is a technique where a model retrieves relevant information from a database and uses it to generate more accurate responses.
What does RAG stand for?
Why is RAG important?
RAG reduces hallucinations and makes AI outputs more reliable. It lets teams scale content while preserving accuracy and brand alignment.