---
title: "RAG – AI answers grounded in your data | Sweet Lava"
description: "RAG lets a language model search your documents, price lists or database before answering. See why it cuts hallucinations and where it fits."
url: https://sweetlava.eu/en/glossary/rag/
lang: en
alternate_pl: https://sweetlava.eu/pl/slownik/rag/
---

SEO & AI 

# What is RAG (retrieval-augmented generation)?

RAG (retrieval-augmented generation) is a technique in which a language model, before answering, retrieves information from a connected knowledge base – documents, a price list, a database – and answers based on those sources rather than its training memory alone.

The mechanics in three steps: the user asks a question → the system finds matching fragments in your sources → the model composes an answer from those fragments, often citing them. The model doesn't have to "remember" your offer; it gets it served at the moment of the question.

A practical example: an assistant for an accounting firm's clients answers from the firm's current price list and procedures – not from whatever the model "heard" about accounting firms on the internet. When the price list changes, you swap the document.

**Why it matters for business:** RAG is the core of most sensible AI implementations in companies. It lets the model work on your own, current data without costly training, and it clearly reduces hallucinations, because answers have sources. This is how you build AI that knows your company.

## Related services

- [ AI integration services → ](https://sweetlava.eu/en/services/ai-integration-services/)

## Related articles

AI · 12 June 2026

## [ Implementing AI in a company, step by step – what our own projects taught us ](https://sweetlava.eu/en/blog/ai-implementation-step-by-step/) 

How AI implementation works in practice – from a data audit, through a pilot with a measurable goal, to team enablement. With concrete price ranges and a list of situations where AI isn't worth it.

## Related terms

- [AI hallucinations](https://sweetlava.eu/en/glossary/ai-hallucinations/)
- [API](https://sweetlava.eu/en/glossary/api/)
- [LLM (large language model)](https://sweetlava.eu/en/glossary/llm/)

## Wondering what AI could change in your company?

We implement AI where it makes measurable sense and teach your team to use the tools. We'll also tell you straight when it's not worth it.

[ Get in touch ](https://sweetlava.eu/en/contact/?source=glossary-rag)