Semantic search (RAG) in Invercargill.
Semantic search (RAG) designed around the way a Invercargill 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 Invercargill 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 Invercargill is that the businesses here tend to be sharper about what they want than the brief lets on. Semantic search (RAG) for a Invercargill team almost always ends up looking different to semantic search (RAG) for a downtown Auckland one.
We'd call the engagement a success when Invercargill teams are using the system without thinking about us. Average search time drops from 6 minutes to 12 seconds.
The pattern across Invercargill engagements we've shipped.
Dairy, aquaculture, manufacturing, and a tight services market. AI in Southland needs to install once and run quietly for years.
We work with teams in
What we build
Semantic search (RAG), tailored to Invercargill 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 Invercargill? +
Most Invercargill 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 Invercargill? +
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.
Has this actually shipped for a real Invercargill? +
Yes. Average search time drops from 6 minutes to 12 seconds. We'll share comparable engagements on the call.
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.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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