Semantic search (RAG) in Ashburton.
AI search over your data - wired into an Ashburton workflow, not bolted on the side.
Mid Canterbury moved from sheep and grain to dairy, dairy support and seed crops. The paperwork grew with it, and that is the part we automate.
Ashburton, up close.
Agriculture and its support industries drive the district, and reliable irrigation has moved land from sheep and grain towards dairy, dairy support and high value crops such as seed.
The Rangitata Diversion Race carries water for stock, irrigation and hydro generation across the plains. Most New Zealand dairy herds calve in spring, July to September.
An AI agency, minus the theatre.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
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.
How Kiwi Dynamics works
We find the one workflow costing Ashburton businesses the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
On the tools or running at scale, the admin still eats the week :)
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.
If we build the right slice first, Ashburton teams feel the difference inside the first month. Average search time drops from 6 minutes to 12 seconds. Kiwi Dynamics
Straight answers
What if our Ashburton doesn't have any data ready?
Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For semantic search (RAG) specifically, we typically run that work on Pinecone, Claude, Postgres pgvector, Vercel AI SDK and assume messy starting conditions from day one.
How fast could we have semantic search (RAG) in production?
Eight to ten weeks for most Ashburton businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What does semantic search (RAG) cost for an Ashburton?
Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.
Can it remind us about the annual return?
Yes. Every company must file an annual return with the Companies Office each year, separate from its tax return.
Can you work to the NZISM?
The NZISM is the government's information security manual and is written for vendors serving agencies as well as the agencies themselves, so government-adjacent work should be built to it.
Talk to us about semantic search (RAG)
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Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.
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