The version of semantic search (RAG) that works for a Katherine business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates - usually with fewer parts than the off-the-shelf pitch.
AI search over your data, built for businesses operating in Katherine.
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 Katherine context, plainly.
- Katherine is defence, pastoral country and transport where the Stuart and Victoria highways meet.
- RAAF Base Tindal, cattle stations, horticulture and freight. Defence work brings compliance requirements, and pastoral clients are often hours from the nearest town.
We work with teams across Katherine: Katherine CBD · Katherine East · Katherine South · Tindal · Mataranka.
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How we build semantic search (RAG) for a Katherine team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Katherine business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Katherine teams
Average search time drops from 6 minutes to 12 seconds. For Katherine teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
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 a typical engagement length for Katherine businesses?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
Has this actually shipped for a real Katherine?
Yes. Average search time drops from 6 minutes to 12 seconds. We'll share comparable engagements on the call.
Can you work with our existing systems?
Yes. The default semantic search (RAG) stack we reach for is Pinecone, Claude, Postgres pgvector, Vercel AI SDK, but we'll bend it around whatever you already run - Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
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.