---
title: "What Is Retrieval-Augmented Generation (RAG)?"
description: "Retrieval-augmented generation (RAG) is a pattern where an AI system first looks up relevant passages from a company’s own approved documents, then writes its answer from those passages and can show the source. A business needs it when answers must reflect its own policies, products or records rather than general knowledge."
url: https://lidvizion.ai/answers/what-is-retrieval-augmented-generation/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Direct answers](https://lidvizion.ai/answers/)

# What is retrieval-augmented generation, and when does a business need it?

Retrieval-augmented generation (RAG) is a pattern where an AI system first looks up relevant passages from a company’s own approved documents, then writes its answer from those passages and can show the source. A business needs it when answers must reflect its own policies, products or records rather than general knowledge.

## What this means in practice

- It keeps answers tied to current, approved sources instead of the model’s general training.
- Showing the source lets people check an answer before relying on it.
- Answer quality depends on the documents: outdated or duplicated sources produce poor answers.
- Access rules must carry through, so people only see answers from documents they are allowed to read.

## How Lid Vizion approaches it

We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.

## See it as a workflow

- [Internal knowledge assistant](https://lidvizion.ai/use-cases/internal-knowledge-assistant/): Answer staff questions from approved policies, procedures and product documents, with the source shown and a clear handoff when the answer is not there.

## More on Automation & custom AI

- [How can a company keep AI-generated answers accurate?](https://lidvizion.ai/answers/how-to-keep-ai-answers-accurate/)
- [How should a company choose its first AI automation project?](https://lidvizion.ai/answers/how-to-choose-an-ai-automation-project/)
- [What is an AI workflow audit, and what should you get from one?](https://lidvizion.ai/answers/what-is-an-ai-workflow-audit/)

[Compare services](https://lidvizion.ai/services/) · [Use a planning tool](https://lidvizion.ai/tools/) · [Explore workflow use cases](https://lidvizion.ai/use-cases/) · [More direct answers](https://lidvizion.ai/answers/)

Talk it through

## Have a version of this question inside your company?

Bring the decision, the constraints, and what a good outcome looks like.

[Talk through the decision](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fanswers%2Fwhat-is-retrieval-augmented-generation%2F#write) · [Book a call](https://calendar.app.google/bB26LdA9e2gmGFp69)