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Glossary Retrieval-augmented generation Australian business definition

RAG defined for business

RAG is an AI pattern that retrieves relevant source material before generating an answer, so the response can be grounded in known documents.

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What it means

How RAG affects Australian small and medium businesses.

It is useful when staff need answers from policies, manuals, contracts, procedures or product notes and need to see where the answer came from.

Related service

AI model integrations inside websites, CRMs, portals, dashboards and internal tools. We work across major model providers including GPT and OpenAI, Anthropic Claude, Google Gemini, Microsoft Azure AI, Meta Llama, Mistral, Cohere, DeepSeek, xAI Grok and Amazon Bedrock-hosted models, with prompts, retrieval, guardrails, logging and human review handled properly.

Open AI Integration
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When it helps

Where it helps, what to check first and a practical Australian business example.

Use it when

There is a real business job

When useful knowledge is spread across PDFs, manuals, policies, contracts or SharePoint folders.

Watch out

Do not let the label drive the project

RAG still needs source quality, permissions and testing. Bad documents produce bad answers.

Example

A small-business version

A training provider might use RAG so staff can ask policy questions and see the source document behind each answer.

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Questions

Short answers about RAG for Australian business owners.

What is RAG?

RAG is an AI pattern that retrieves relevant source material before generating an answer, so the response can be grounded in known documents.

How does RAG affect a small business?

It is useful when staff need answers from policies, manuals, contracts, procedures or product notes and need to see where the answer came from.

Can Doohickey help with RAG?

Yes. Doohickey can turn RAG into a scoped project with clear users, data rules, ownership, handover and support.