We've worked with enough operators in Queanbeyan to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any semantic search (RAG) project is sit with your team for a day before we propose anything.
For Queanbeyan 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.
- 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
Without Koala Dynamics
With Koala Dynamics
Why Queanbeyan businesses are a fit for this.
- Queanbeyan trades on Canberra next door - construction, trades and services serving a government city from just over the border.
- A trades and construction base servicing the ACT, with lower overheads and a customer base that expects Canberra standards. Government-adjacent clients bring procurement and record-keeping requirements most small firms are not set up for.
We work with teams across Queanbeyan: Queanbeyan CBD · Jerrabomberra · Karabar · Googong · Bungendore.
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How we build semantic search (RAG) for a Queanbeyan team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Queanbeyan business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Queanbeyan teams
If we build the right slice first, Queanbeyan 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
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 Queanbeyan - 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 Queanbeyan businesses are surprised how small the first cheque is.
What's the realistic outcome for Queanbeyan 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.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
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.