Retrieval-Augmented Generation combines search with answer generation. Many AI search engines and assistants work this way – including Bolly on this website.
What it means in practice
RAG (Retrieval-Augmented Generation) is a technique in which AI first retrieves information from specific sources – e.g. the internet or a company knowledge base – and only then forms its answer from them.
Why it matters for your business
RAG makes answers current and fact-based rather than relying only on the model’s “memory”. Most AI search engines work this way – which is why your website’s content directly shapes what AI says about your business.
Examples and good practice
- AI search engines pull fragments of pages – write clear, self-contained paragraphs.
- Keep information up to date, as AI uses current content.
- For an on-site assistant, prepare a knowledge base with prices and FAQ.
- The better the source, the more accurate the answer.
How Novi handles it
The Bolly AI assistant on this website works with RAG: it answers from the Novi knowledge base. The AI assistant module gives your business the same kind of assistant, trained on your offer.
