Most of our Wagga Wagga engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. Semantic search (RAG) is then designed against the detail, not the shape.
For Wagga Wagga operators who want a working pilot in weeks, not a year-long programme.
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
What's different about doing this work in Wagga Wagga.
- Wagga is the Riverina's service capital - agriculture, defence, health and education all run out of one inland city, and most of the businesses serving them are small teams covering a big catchment.
- Agricultural services, the Kapooka army base, a major regional hospital and a Charles Sturt campus give Wagga a broader economy than its size suggests. Businesses here serve a catchment measured in hours of driving, so anything that answers a customer without a trip is worth real money.
We work with teams across Wagga Wagga: Wagga CBD · Kooringal · Lake Albert · Bomen · Forest Hill.
Talk to us about this →How we build semantic search (RAG) for a Wagga Wagga team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Wagga Wagga business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Wagga Wagga teams
If we build the right slice first, Wagga Wagga 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 a typical engagement length for Wagga Wagga 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.
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call - fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
Do you have proof this works for Wagga Wagga businesses?
Direct case study: Average search time drops from 6 minutes to 12 seconds. Happy to walk you through full numbers on a 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.