Queensland · Applied AI
Semantic search (RAG) in Toowoomba
For Toowoomba operators who want a working pilot in weeks, not a year-long programme.
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 Toowoomba 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 Toowoomba businesses choose this
Toowoomba is the commercial hub for the Darling Downs' agriculture and logistics economy – AI here means turning paddock and freight data into decisions, not just dashboards.
What's different about doing this work in Toowoomba.
Grain, cotton and cattle agribusiness feeding into a major freight and logistics corridor west of Brisbane. Toowoomba businesses want AI that handles forecasting, quoting and logistics coordination without a head office two states away.
We work with teams across Toowoomba: Toowoomba CBD · Rangeville · Newtown · Wilsonton · Kearneys Spring · Highfields.
How we build semantic search (RAG) for a Toowoomba team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Toowoomba 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 Toowoomba teams
We'd call the engagement a success when Toowoomba 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 Toowoomba – 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 Toowoomba – so the savings start landing before the rest of the build is finished.
How do you price semantic search (RAG) engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Toowoomba businesses are surprised how small the first cheque is.
Anyone else in this space using semantic search (RAG)?
Plenty. Average search time drops from 6 minutes to 12 seconds. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.
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.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
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.