Waiheke Island businesses don't need another generic AI pitch. Semantic search (RAG) only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Auckland.
Auckland · Applied AI
Semantic search (RAG) that lives in your stack, not on a vendor's roadmap. Shipped from Auckland.
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
Auckland
Our field notes from Waiheke Island builds.
- Waiheke is wine, hospitality, and high-touch tourism – AI here handles the spike when the ferry lands.
- Cellar doors, restaurants, accommodation, and the trades that maintain it all. AI tools that handle bookings and reviews quietly are gold.
We work with teams across Waiheke Island: Oneroa · Onetangi · Palm Beach · Surfdale · Ostend.
Talk to us about this →
How we build semantic search (RAG) for a Waiheke Island team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Waiheke Island business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Waiheke Island teams
The shape of the result for Waiheke Island teams: Average search time drops from 6 minutes to 12 seconds. Built on Pinecone, hardened with the rest of the stack as it scales.
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
How fast could we have semantic search (RAG) in production?
Eight to ten weeks for most Waiheke Island 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 a Waiheke Island?
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.
What's the realistic outcome for Waiheke Island 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.
What if our Waiheke Island 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.
One reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
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.