The reason we take on work in Warrnambool is that the businesses here tend to be sharper about what they want than the brief lets on. Semantic search (RAG) for a Warrnambool team almost always ends up looking different to semantic search (RAG) for a downtown Auckland one.
AI search over your data - wired into a Warrnambool workflow, not bolted on the side.
What semantic search (RAG) actually does
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.
- 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
Built on: Pinecone Claude Postgres pgvector Vercel AI SDK
Without Koala Dynamics
With Koala Dynamics
The pattern across Warrnambool engagements we've shipped.
- Warrnambool is dairy country with a strong food-processing base and a tourism strip along the Great Ocean Road.
- Dairy production and processing, agriculture services, health and a seasonal tourism economy. Farm clients and tourism clients run on completely different rhythms, and most local firms serve both.
We work with teams across Warrnambool: Warrnambool CBD · Dennington · North Warrnambool · Port Fairy · Koroit.
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How we build semantic search (RAG) for a Warrnambool team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Warrnambool business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Warrnambool teams
The shape of the result for Warrnambool teams: Average search time drops from 6 minutes to 12 seconds. Built on Pinecone, hardened with the rest of the stack as it scales.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
Is semantic search (RAG) worth it for a smaller Warrnambool?
Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
Anyone else in this space using semantic search (RAG)?
Plenty. Average search time drops from 6 minutes to 12 seconds. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.
What tools do you build semantic search (RAG) on?
For semantic search (RAG) we usually reach for Pinecone, Claude, Postgres pgvector, Vercel AI SDK. We're tool-agnostic at heart - we pick what your Warrnambool team can actually run after we hand the build over, not what looks good on a vendor sticker.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.