Semantic search (RAG) in Motueka.
Semantic search (RAG) designed around the way a Motueka team actually runs.
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 Motueka 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
The reason we take on work in Motueka is that the businesses here tend to be sharper about what they want than the brief lets on. Semantic search (RAG) for a Motueka team almost always ends up looking different to semantic search (RAG) for a downtown Auckland one.
We'd call the engagement a success when Motueka teams are using the system without thinking about us. Average search time drops from 6 minutes to 12 seconds.
Our field notes from Motueka builds.
Horticulture, hospitality serving Abel Tasman tourism, and a small but resilient services sector. AI tools that work for owner-operators fit.
We work with teams in
What we build
Semantic search (RAG), tailored to Motueka 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 the realistic timeline for semantic search (RAG) with a Motueka? +
Most Motueka businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational – your team gets to use the thing well before the engagement is "done".
What does semantic search (RAG) cost for a Motueka? +
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 happens if we want to swap a vendor out later? +
Semantic search (RAG) is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Pinecone, Claude, Postgres pgvector, Vercel AI SDK are our defaults, but the build is intentionally portable.