Tamworth sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers - none of those are details our default semantic search (RAG) template would catch.
Semantic search (RAG) that lives in your stack, not on a vendor's roadmap. Shipped from New South Wales.
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 we keep seeing in Tamworth.
- Tamworth is the New England's agricultural and equine capital, where seasonal peaks mean the phone either does not ring or does not stop.
- Agriculture, equine industries, meat processing, health and a major events calendar drive a business base with severe seasonality. Handling a peak without hiring for it year-round is the recurring problem AI actually solves here.
We work with teams across Tamworth: Tamworth CBD · Hillvue · Oxley Vale · Westdale · North Tamworth.
Talk to us about this →How we build semantic search (RAG) for a Tamworth team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Tamworth business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Tamworth teams
We'd call the engagement a success when Tamworth 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
What's the realistic timeline for semantic search (RAG) with a Tamworth?
Most Tamworth 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 Tamworth?
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 Tamworth?
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.
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.