The reason we take on work in Motueka is that the businesses here tend to be sharper about what they want than the brief lets on. Semantic search (RAG) for a Motueka team almost always ends up looking different to semantic search (RAG) for a downtown Auckland one.
Tasman · Applied AI
Semantic search (RAG) designed around the way a Motueka team actually runs.
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 Kiwi Dynamics
With Kiwi Dynamics
Tasman
Our field notes from Motueka builds.
- Motueka is hops, apples, and a steady tourism flow toward Abel Tasman – AI here helps growers and operators handle peak weeks without panic.
- Horticulture, hospitality serving Abel Tasman tourism, and a small but resilient services sector. AI tools that work for owner-operators fit.
We work with teams across Motueka: Motueka · Mapua · Tasman · Riwaka · Kaiteriteri.
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How we build semantic search (RAG) for a Motueka team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Motueka business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Motueka teams
We'd call the engagement a success when Motueka teams are using the system without thinking about us. 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.
Questions
FAQ
What's the realistic timeline for semantic search (RAG) with a Motueka?
Most Motueka businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational – your team gets to use the thing well before the engagement is "done".
What does semantic search (RAG) cost for a Motueka?
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 you walk us through a comparable build?
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Average search time drops from 6 minutes to 12 seconds.
What happens if we want to swap a vendor out later?
Semantic search (RAG) is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Pinecone, Claude, Postgres pgvector, Vercel AI SDK are our defaults, but the build is intentionally portable.
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.