South Australia · Applied AI
Semantic search (RAG) in Adelaide
Built and supported here – the way a Adelaide business would actually use it.
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.
Most of our Adelaide 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.
- 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
Why Adelaide businesses choose this
Adelaide runs on defence, wine and a growing med-tech sector – AI lands well here with teams that are precise by trade and impatient with anything that wastes their time.
The Adelaide context, plainly.
The naval shipbuilding program, a concentrated wine industry around the Barossa and McLaren Vale, and a health and biotech cluster around the CBD all reward AI that's accurate first, flashy never.
We work with teams across Adelaide: CBD · Norwood · Glenelg · Mawson Lakes · Elizabeth · Port Adelaide.
How we build semantic search (RAG) for a Adelaide team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Adelaide business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
AI search over your data.
The outcome for Adelaide teams
What changes for Adelaide teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Average search time drops from 6 minutes to 12 seconds.
Average search time drops from 6 minutes to 12 seconds.
Semantic search (RAG) in Adelaide – common questions
What's a typical engagement length for Adelaide 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.
What's the realistic outcome for Adelaide 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.
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.
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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.