The reason we take on work in Mildura is that the businesses here tend to be sharper about what they want than the brief lets on. Semantic search (RAG) for a Mildura team almost always ends up looking different to semantic search (RAG) for a downtown Auckland one.
AI search over your data - wired into a Mildura 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
Our field notes from Mildura builds.
- Mildura is irrigated horticulture on the Murray - table grapes, citrus, almonds and wine, run on seasonal labour and tight margins.
- Sunraysia horticulture, dried fruit, wine and the freight moving it east. Seasonal workforce administration and compliance paperwork consume an enormous share of management time every year.
We work with teams across Mildura: Mildura CBD · Irymple · Merbein · Red Cliffs · Wentworth.
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How we build semantic search (RAG) for a Mildura team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Mildura business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Mildura teams
If we build the right slice first, Mildura 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
How fast could we have semantic search (RAG) in production?
Eight to ten weeks for most Mildura 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 Mildura 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.
What's the realistic outcome for Mildura businesses?
Average search time drops from 6 minutes to 12 seconds. We don't promise tenfold lifts because we don't see them outside of marketing decks.
What if our Mildura 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.
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.