Victoria · Applied AI
Semantic search (RAG) in Geelong
AI search over your data, built for businesses operating in Geelong.
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.
The version of semantic search (RAG) that works for a Geelong business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates – usually with fewer parts than the off-the-shelf pitch.
- 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 Geelong businesses choose this
Geelong has rebuilt itself around health, education and advanced manufacturing since the car plants closed – AI here supports a city that's already proven it can reinvent.
Where Geelong operators actually lose hours.
A major hospital redevelopment, Deakin University's waterfront campus, and a manufacturing base that's shifted from cars to precision and renewables work. Geelong teams want AI that fits a city used to modernising fast.
We work with teams across Geelong: Geelong CBD · Newtown · Belmont · Corio · Ocean Grove · Torquay.
How we build semantic search (RAG) for a Geelong team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Geelong 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 Geelong teams
Average search time drops from 6 minutes to 12 seconds. For Geelong teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
Average search time drops from 6 minutes to 12 seconds.
Semantic search (RAG) in Geelong – common questions
When does semantic search (RAG) actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Geelong – so the savings start landing before the rest of the build is finished.
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
What's the realistic outcome for Geelong businesses?
Average search time drops from 6 minutes to 12 seconds. We don't promise tenfold lifts because we don't see them outside of marketing decks.
Will this run on our own infrastructure?
Yes, where it makes sense. Semantic search (RAG) can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Pinecone, Claude, Postgres pgvector, Vercel AI SDK but the architecture supports your existing platform choices.
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.