Semantic search (RAG) in Gisborne.
For Gisborne operators who want a working pilot in weeks, not a year-long programme.
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 Gisborne 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 Gisborne 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.
We'd call the engagement a success when Gisborne teams are using the system without thinking about us. Average search time drops from 6 minutes to 12 seconds.
What's different about doing this work in Gisborne.
Strong Māori economy, agriculture, and tourism shoulder peaks. AI tools that work offline and bilingually find a fast home here.
We work with teams in
What we build
Semantic search (RAG), tailored to Gisborne 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.
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 Gisborne – so the savings start landing before the rest of the build is finished.
How do you price semantic search (RAG) engagements? +
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Gisborne businesses are surprised how small the first cheque is.
Has this actually shipped for a real Gisborne? +
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.