Semantic search (RAG) in Palmerston North.

AI search over your data, built for businesses operating in Palmerston North.

Twenty minutes on semantic search (RAG) – Palmerston North context

Twenty minutes. We listen, ask sharp questions, and tell you honestly whether what you're picturing is worth building.

What this is

AI search over your data

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.

Average search time drops from 6 minutes to 12 seconds.

How it helps your Palmerston North team

What you actually get.

  • Indexes Drive, SharePoint, Notion, Slack, your CRM
  • Returns answers with source links – no hallucinations
  • Permissioned so staff only see what they should
  • Re-indexes nightly so results stay fresh

Most of our Palmerston North engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. Semantic search (RAG) is then designed against the detail, not the shape.

What changes for Palmerston North 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.

The Palmerston North context, plainly.

Manawatū agriculture, distribution centres, AgResearch, and the university anchor a steady, practical economy. AI lands well when it respects how things already work.

We work with teams in

CBDHokowhituAwapuniRoslynFeildingAshhurst

What we build

Semantic search (RAG), tailored to Palmerston North businesses.

Built on: PineconeClaudePostgres pgvectorVercel AI SDK

Common questions

Before you book the call.

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 Palmerston North – so the savings start landing before the rest of the build is finished.

Do you do hourly billing or fixed price? +

Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

Has this actually shipped for a real Palmerston North? +

Yes. Average search time drops from 6 minutes to 12 seconds. We'll share comparable engagements on the call.

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.

The honest version of a sales call.

No deck. No discovery doc. Just whether this is worth building and what it would cost.

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