Rockhampton businesses don't need another generic AI pitch. Semantic search (RAG) only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Queensland.
AI search over your data - wired into a Rockhampton workflow, not bolted on the side.
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.
- 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
The pattern across Rockhampton engagements we've shipped.
- Rockhampton is the beef capital and a Central Queensland service hub, with a defence and mining services layer on top.
- Cattle, meat processing, mining services and a large military training presence at Shoalwater Bay. Livestock and mining clients both run on schedules that punish a slow reply.
We work with teams across Rockhampton: Rockhampton CBD · North Rockhampton · Gracemere · Parkhurst · Yeppoon.
Talk to us about this →How we build semantic search (RAG) for a Rockhampton team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Rockhampton business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Rockhampton teams
If we build the right slice first, Rockhampton teams feel the difference inside the first month. Average search time drops from 6 minutes to 12 seconds.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
Is semantic search (RAG) worth it for a smaller Rockhampton?
Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Has this actually shipped for a real Rockhampton?
Yes. Average search time drops from 6 minutes to 12 seconds. We'll share comparable engagements on the call.
What tools do you build semantic search (RAG) on?
For semantic search (RAG) we usually reach for Pinecone, Claude, Postgres pgvector, Vercel AI SDK. We're tool-agnostic at heart - we pick what your Rockhampton team can actually run after we hand the build over, not what looks good on a vendor sticker.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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.