Queensland · Applied AI
Semantic search (RAG) in Townsville
Built and supported here – the way a Townsville business would actually use it.
What semantic search (RAG) actually does
Search that understands intent, not just keywords. Your team types what they mean – and gets the right document, ticket, or product from across every system, with citations.
Most of our Townsville engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. Semantic search (RAG) is then designed against the detail, not the shape.
- 01 Indexes Drive, SharePoint, Notion, Slack, your CRM
- 02 Returns answers with source links – no hallucinations
- 03 Permissioned so staff only see what they should
- 04 Re-indexes nightly so results stay fresh
Built on: Pinecone Claude Postgres pgvector Vercel AI SDK
Why Townsville businesses choose this
Townsville runs on defence, mining services and a role as North Queensland's regional hub – AI here means serving a wide catchment without a Sydney-sized team.
Where Townsville operators actually lose hours.
A major army garrison, mineral processing, and a role as the service centre for a huge swathe of North Queensland. Townsville businesses want AI that covers a big regional footprint with a small local team.
We work with teams across Townsville: Townsville CBD · North Ward · Aitkenvale · Kirwan · Douglas · Idalia.
How we build semantic search (RAG) for a Townsville team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Townsville business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
AI search over your data.
The outcome for Townsville teams
We'd call the engagement a success when Townsville teams are using the system without thinking about us. Average search time drops from 6 minutes to 12 seconds.
Average search time drops from 6 minutes to 12 seconds.
Semantic search (RAG) in Townsville – common questions
What's a typical engagement length for Townsville businesses?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
Do you have proof this works for Townsville businesses?
Direct case study: Average search time drops from 6 minutes to 12 seconds. Happy to walk you through full numbers on a call.
Can you work with our existing systems?
Yes. The default semantic search (RAG) stack we reach for is Pinecone, Claude, Postgres pgvector, Vercel AI SDK, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
Worth a conversation?
Even if you don't end up working with us, you'll leave the call knowing what's worth building.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.