The reason we take on work in Hervey Bay is that the businesses here tend to be sharper about what they want than the brief lets on. Semantic search (RAG) for a Hervey Bay team almost always ends up looking different to semantic search (RAG) for a downtown Auckland one.
Semantic search (RAG) that lives in your stack, not on a vendor's roadmap. Shipped from Queensland.
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 Hervey Bay engagements we've shipped.
- Hervey Bay is tourism, retirement and health on the Fraser Coast, with an older customer base that still calls rather than clicks.
- Whale watching and Fraser Island tourism, aged care, health services and the trades servicing steady inbound migration. Phone volume is the constraint for most local operators.
We work with teams across Hervey Bay: Pialba · Urangan · Torquay · Scarness · Maryborough.
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How we build semantic search (RAG) for a Hervey Bay team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Hervey Bay business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Hervey Bay teams
We'd call the engagement a success when Hervey Bay teams are using the system without thinking about us. Average search time drops from 6 minutes to 12 seconds.
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 fast could we have semantic search (RAG) in production?
Eight to ten weeks for most Hervey Bay businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for Hervey Bay businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Do you have proof this works for Hervey Bay businesses?
Direct case study: Average search time drops from 6 minutes to 12 seconds. Happy to walk you through full numbers on a call.
What if our Hervey Bay doesn't have any data ready?
Most don't. Getting the data into shape - ingestion, cleaning, the lightweight contracts you need before any model is useful - is part of the engagement. For semantic search (RAG) specifically, we typically run that work on Pinecone, Claude, Postgres pgvector, Vercel AI SDK and assume messy starting conditions from day one.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
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.