There is a real business job
When useful knowledge is spread across PDFs, manuals, policies, contracts or SharePoint folders.
RAG is an AI pattern that retrieves relevant source material before generating an answer, so the response can be grounded in known documents.
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.
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 IntegrationWhere it helps, what to check first and a practical Australian business example.
When useful knowledge is spread across PDFs, manuals, policies, contracts or SharePoint folders.
RAG still needs source quality, permissions and testing. Bad documents produce bad answers.
A training provider might use RAG so staff can ask policy questions and see the source document behind each answer.
Short answers about RAG for Australian business owners.
RAG is an AI pattern that retrieves relevant source material before generating an answer, so the response can be grounded in known documents.
It is useful when staff need answers from policies, manuals, contracts, procedures or product notes and need to see where the answer came from.
Yes. Doohickey can turn RAG into a scoped project with clear users, data rules, ownership, handover and support.