Semantic search (RAG) in Paraparaumu.
Built and supported here – the way a Paraparaumu business would actually use it.
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 Paraparaumu 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 Paraparaumu 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.
If we build the right slice first, Paraparaumu teams feel the difference inside the first month. Average search time drops from 6 minutes to 12 seconds.
The Paraparaumu context, plainly.
Retail, hospitality, trades, and a strong remote-work professional population. AI tools that polish customer experience win quickly.
We work with teams in
What we build
Semantic search (RAG), tailored to Paraparaumu businesses.
- 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
Common questions
Before you book the call.
What's a typical engagement length for Paraparaumu businesses? +
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
Are there hidden costs we should plan for? +
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
Has this actually shipped for a real Paraparaumu? +
Yes. Average search time drops from 6 minutes to 12 seconds. We'll share comparable engagements on the call.
Can you work with our existing systems? +
Yes. The default semantic search (RAG) stack we reach for is Pinecone, Claude, Postgres pgvector, Vercel AI SDK, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.