RAG & Knowledge Systems
for Perth, Melbourne, Sydney, Brisbane businesses.
Your business has thousands of documents — policies, contracts, manuals, specs. Staff spend hours searching for answers that already exist. RAG systems index your knowledge and answer questions instantly, with source citations.
Accurate. Sourced. Private. Deployed within your environment. Built for Australian businesses that need AI they can trust.
AI that reads your documents and answers questions — with proof
Retrieval-Augmented Generation (RAG) is the technology that makes AI actually useful for business. Instead of generating answers from its general training, the AI searches your specific documents first, then constructs an answer grounded in your actual data.
Every answer comes with source citations — the document, the page, the section. Your team can verify any answer in seconds. When the information is not in your documents, the AI says so instead of making something up.
We build RAG systems for Australian businesses — deployed within your environment, connected to your document sources, secured with proper access controls. Your data never leaves your network.
Why RAG systems change how your team works
AI that answers from your data — not its imagination
Standard AI models generate answers from their training data. That is fine for general questions, but dangerous for business ones. When your staff ask about a specific policy, contract clause, or product specification, approximate or invented answers are worse than no answer.
RAG systems solve this. Before the AI generates a response, it searches your actual documents and data. It finds the relevant sections, then constructs an answer grounded in those specific sources. Every answer cites where it came from.
If the information is not in your documents, the system says so — instead of confidently making something up. That is the difference between AI you can trust and AI you have to double-check.
Search thousands of documents in seconds
Your business has years of accumulated knowledge — policies, procedures, manuals, contracts, proposals, specs, meeting notes, compliance documents. Finding the right answer in that haystack takes time. Staff spend 20 minutes searching when the answer exists on page 47 of a document nobody remembers.
A RAG system indexes everything. When someone asks a question, it searches the entire knowledge base semantically — not just by keywords. It understands meaning, so "What is our refund policy for late cancellations?" finds the right answer even if the document says "cancellation fee" instead of "refund."
Average retrieval time: under 5 seconds. That is 5 seconds versus 20 minutes. Multiply that across every question, every day, every team member.
Every answer comes with proof
The best thing about a RAG system is traceability. Every answer includes the source document, page number, and relevant section. Your team can verify any answer in seconds.
This is critical for compliance, legal, and regulated industries. When the AI says "Our policy requires 30 days notice", your team can click through to the exact clause in the exact document. Auditors and compliance officers can see exactly where information came from.
Source citations also build trust with your team. People use AI tools they can verify. They abandon tools they cannot.
Your knowledge base updates automatically
Documents change. Policies get updated. New contracts are signed. Old procedures are replaced. If your AI is working from a static snapshot, it gives stale answers.
Our RAG systems include automatic re-indexing. When a document is updated in your SharePoint, Google Drive, or internal system, the knowledge base re-indexes it. The AI always works from the latest versions.
You can also see what is in the index, when each document was last processed, and flag documents for review. Full visibility into what the AI knows and does not know.
Your documents never leave your environment
Your business documents contain sensitive information — contracts, financial data, client details, internal policies. Uploading them to a public AI service is not an option for most businesses.
We deploy RAG systems within your environment. Documents are indexed and stored in your infrastructure — Azure, AWS, or on-premise. The AI model processes queries without exporting your data. Access controls ensure users only see documents they are authorised to see.
For Australian businesses with data residency requirements, we deploy entirely within Australian data centres. Your data stays in Australia.
Get Started
Want to see RAG working with your documents?
Send us a sample of your documents and we will show you what a RAG system can do with them. Free assessment — no commitment.
RAG Systems — By Use Case
We build RAG systems for five main use cases. Most deployments combine elements of multiple types.
Internal Knowledge Base AI
An AI assistant that your team can ask questions — about policies, procedures, product specs, compliance requirements, or anything else in your documents. It searches your internal knowledge base and gives accurate, sourced answers.
Perfect for businesses with large document libraries where staff spend too much time searching. Onboarding new staff becomes faster because they can ask the AI instead of hunting through folders.
Works with SharePoint, Google Drive, Confluence, internal wikis, or any document repository. Deployed as a web app, Teams bot, or Slack bot.
Customer-Facing Knowledge Bot
A customer-facing AI that answers product questions, explains your services, and helps users find what they need — all from your existing content. Product manuals, help articles, FAQs, and documentation become an interactive knowledge assistant.
Customers get instant, accurate answers instead of searching through your website or waiting for support. The bot cites your content, so customers can click through to the full documentation if they want more detail.
Deployed on your website, in your app, or through messaging channels. Integrates with your existing help desk for seamless escalation when the customer needs human support.
Compliance & Legal Document AI
AI that searches your compliance documents, contracts, and regulatory filings to answer specific questions. "Does our contract with X allow subcontracting?" "What are the retention requirements for financial records?" "What changed in the latest policy update?"
Critical for legal teams, compliance officers, and regulated industries. Every answer includes the exact document, section, and version. Full audit trail of who asked what and what answer was given.
Supports version tracking — so the AI knows which version of a document is current and can compare changes between versions.
Technical Documentation AI
AI that helps engineering and technical teams find answers in specifications, manuals, standards, and design documents. Complex technical queries that would take an engineer 30 minutes to research get answered in seconds.
Supports technical document types including CAD references, engineering standards, API documentation, and product specifications. Understands technical terminology and relationships between documents.
Particularly useful for businesses with large, complex document sets — mining, construction, manufacturing, engineering consultancies.
Training & Onboarding AI
New staff ask hundreds of questions in their first weeks. "How do I submit a leave request?" "What is the dress code for client sites?" "Where do I find the project templates?" Instead of asking colleagues or searching through folders, they ask the AI.
The AI draws from your HR policies, training materials, SOPs, and internal guides. Answers are specific to your business — not generic advice. Staff get consistent, accurate information whether they start on a Monday or a Saturday.
Reduces the burden on managers and experienced staff. Tracks which questions are asked most frequently — giving you insight into where your documentation gaps are.
AI-powered document search across 4,000+ mining procedures
We built a RAG-powered search system for a mining company. Workers ask questions in plain English and get accurate answers from thousands of safety and procedure documents.
Read the full case study →RAG systems by industry
RAG systems are most valuable in document-heavy industries where staff need fast, accurate answers from large knowledge bases.
Professional Services
Lawyers, consultants, and accountants searching contracts, proposals, and compliance documents. Staff find answers in seconds instead of hours — and every answer cites the exact clause or section.
Mining & Resources
Safety procedures, geological specs, compliance requirements, and equipment manuals — searchable in seconds. Field teams get accurate answers on-site without calling the office.
Healthcare
Clinical guidelines, treatment protocols, drug information, and administrative policies — accessible through natural language questions. Staff get sourced, verifiable answers for patient care decisions.
Government & NFPs
Policy documents, grant guidelines, regulatory frameworks, and operational procedures. Staff and field workers get instant answers instead of searching through document archives.
Education & Training
Course materials, assessment criteria, institutional policies, and research resources — all searchable through an AI assistant. Students and staff get accurate answers with source references.
Manufacturing
Equipment manuals, quality standards, safety procedures, and supplier specs. Production teams get instant answers during shifts instead of waiting for engineering or quality staff.
From documents to answers in weeks
A structured process to get your RAG system live — with real data, tested accuracy, and proper security.
What changes when your team has instant answers
RAG systems transform how your business accesses and uses its own knowledge.
Minutes → Seconds
Questions that take 20 minutes of searching get answered in under 5 seconds. Multiply that across every team member, every day.
Verified Accuracy
Every answer comes with source citations. Your team verifies information in clicks, not hours. Auditors can trace any answer to the source document.
Data Stays Internal
Deployed within your environment. Documents are indexed and stored in your infrastructure. Nothing is shared with public AI services.
Faster Onboarding
New staff ask the AI instead of interrupting colleagues. Consistent, accurate answers from day one — regardless of who is training them.
Always Current
Automatic re-indexing when documents change. The AI always works from the latest version of your policies, procedures, and data.
Usage Insights
See what questions your team asks most. Identify documentation gaps. Track which departments use the system most — and where the biggest time savings are.
Our compliance team used to spend half their day searching through policy documents. The RAG system answers those questions in seconds — with exact citations. We estimate it saves 15 hours a week across the team.
Why HELLO PEOPLE
We build, not just advise
We write the code, design the interface, deploy the systems, and support them long-term. No subcontracting, no offshore handoffs.
Fixed-price quoting
You get a clear price before we start. No hourly billing that spirals, no surprise invoices at the end of the month.
Built for Australian business
We understand BAS, super, award rates, Australian privacy law, and the tools local businesses actually use — Xero, MYOB, ServiceM8, Tradify.
Senior team, direct access
You talk to the people building your software. No account managers, no project managers relaying messages, no ticket queues.
Full code ownership
You own everything — the code, the data, the hosting. No lock-in. No proprietary platforms you cannot leave.
Common questions about RAG & knowledge systems
What is RAG and how does it work?
RAG stands for Retrieval-Augmented Generation. When someone asks a question, the system first searches your documents to find relevant information (retrieval). It then uses that information to generate an accurate, contextual answer (generation). Every answer is grounded in your actual data, with citations back to the source documents.
What types of documents can a RAG system handle?
PDFs, Word documents, Excel spreadsheets, PowerPoint presentations, text files, HTML pages, Confluence pages, SharePoint documents, Google Docs, and more. We can also index structured data from databases and APIs. If your business has it, we can almost certainly index it.
How accurate are the answers?
RAG systems are significantly more accurate than standard AI for business-specific questions because every answer is grounded in your actual documents. We tune the system for your specific use case and test against real questions from your team. Typical accuracy rates are 85-95% depending on document quality and complexity.
Is our data safe?
Yes. We deploy RAG systems within your own environment — Azure, AWS, or on-premise. Your documents are indexed and stored in your infrastructure. Access controls ensure users only see documents they are authorised to access. Data never leaves your network. For Australian data residency requirements, we deploy within Australian data centres.
How much does a RAG system cost?
A focused RAG system (single document source, internal team use) typically starts from $15,000 to $30,000. Enterprise RAG systems with multiple document sources, complex access controls, and customer-facing deployment range from $30,000 to $80,000+. We start with a scoped proof of concept so you see it working before committing to the full build.
How long does it take to set up?
A proof of concept with your actual documents takes 3 to 4 weeks. A full production deployment takes 6 to 10 weeks depending on the volume and variety of documents, access control requirements, and deployment platform.
What happens when a document is updated?
The system automatically re-indexes updated documents. When a file changes in your SharePoint, Google Drive, or other connected source, the knowledge base reflects the latest version. You can also trigger manual re-indexing and see the status of every document in the index.
Can users see which document an answer came from?
Yes — every answer includes source citations showing the document name, section, and page number. Users can click through to the original document to verify or read more. This is a core feature, not an optional extra.
Get Started
Stop searching. Start asking.
Tell us about your documents and knowledge management challenges. We will show you what a RAG system can do for your business — with a realistic scope and price.
Tell Us About Your Documents
What documents does your team search through? What questions do they need answered? We will come back with an honest assessment and realistic scope.
Prefer a quick chat? Call 0425 531 127 – we're Perth-based and we answer the phone.