Semantic search (RAG) in Queenstown.

Built and supported here - the way a Queenstown business would actually use it.

What semantic search (RAG) actually does

Search that understands intent, not just keywords. With the right workflow automated, nine hours of admin a week could drop to about one.*

*Illustrative example only, based on 9 hours a week of admin falling to about 1 hour a week. Actual results vary by workflow and business.

Queenstown staffs up for the ski season, then again for summer. We automate rostering, onboarding and guest enquiries so each new season starts without the scramble.

What Queenstown runs on.

Tourism is the foundation of the Queenstown Lakes economy, and the district hosts far more international visitors per resident than much larger cities.

Coronet Peak and The Remarkables draw skiers from around the world. Winter ski season runs from June, and summer brings adventure tourism, with both peaks needing temporary staff.

What changes for Queenstown teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Average search time drops from 6 minutes to 12 seconds. Kiwi Dynamics

Definitely not a typical AI agency.

We say when AI is not the answer

Production first, demo second

You keep the hours, the data and the system

*Every engagement is scoped and quoted up front. Results vary by workflow and business.

From one-person trades to national organisations, we find the hours :)

The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.

*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.

How it works in Queenstown

We find the one workflow costing Queenstown businesses the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.

Straight answers

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 Queenstown businesses are surprised how small the first cheque is.

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 Queenstown - so the savings start landing before the rest of the build is finished.

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.

Does scheduling handle public holidays?

It should. New Zealand has 11 national public holidays, including Matariki, plus a regional anniversary day that depends on where your business is.

How does this fit the Public Service AI Framework?

The framework, led by the Government Chief Digital Officer, asks for safe, transparent and accountable AI. Agencies that sign the Algorithm Charter also commit to transparency in how they use algorithms.

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