Kiwi Dynamics

West Coast · Applied AI

Semantic search (RAG) designed around the way a Greymouth team actually runs.

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The reason we take on work in Greymouth is that the businesses here tend to be sharper about what they want than the brief lets on. Semantic search (RAG) for a Greymouth team almost always ends up looking different to semantic search (RAG) for a downtown Auckland one.

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

West Coast

Our field notes from Greymouth builds.

  • The West Coast runs on mining, dairy, fishing, and tourism – AI here is about working efficiently across long, lonely distances.
  • Resource industries, hospitality serving tourism flows, and the trades that keep it all running. Tools that work offline matter.

We work with teams across Greymouth: Greymouth · Hokitika · Westport · Reefton · Punakaiki.

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How we build semantic search (RAG) for a Greymouth team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Greymouth business, so value lands before the build is finished. AI search over your data.

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The outcome for Greymouth teams

The shape of the result for Greymouth 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

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

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

How fast could we have semantic search (RAG) in production?

Eight to ten weeks for most Greymouth 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 Greymouth?

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 if our Greymouth 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.

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We'll map your real workflow before quoting anything.

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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.