Bundaberg businesses don't need another generic AI pitch. Semantic search (RAG) only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Queensland.
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
Our field notes from Bundaberg builds.
- Bundaberg is sugar, rum and horticulture in the Wide Bay, with a heavy seasonal labour cycle and thin margins.
- Sugar cane, macadamias, small crops, food manufacturing and a well-known distillery. Seasonal workforce paperwork and food-safety compliance dominate the back office.
We work with teams across Bundaberg: Bundaberg CBD · Bargara · Bundaberg North · Svensson Heights · Childers.
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How we build semantic search (RAG) for a Bundaberg team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Bundaberg business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Bundaberg teams
If we build the right slice first, Bundaberg teams feel the difference inside the first month. 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
What's the realistic timeline for semantic search (RAG) with a Bundaberg?
Most Bundaberg 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".
Is semantic search (RAG) worth it for a smaller Bundaberg?
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.
Has this actually shipped for a real Bundaberg?
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.
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.