Victoria · Applied AI
Semantic search (RAG) in Melbourne
For Melbourne 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.
The version of semantic search (RAG) that works for a Melbourne 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.
- 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 Melbourne businesses choose this
Melbourne's economy runs on education, healthcare, retail and a dense creative and hospitality sector – AI earns its keep here on volume and margin, not novelty.
What's different about doing this work in Melbourne.
Two of the country's biggest universities, a major hospital network, and a retail and hospitality scene that never really slows down. Melbourne teams are practical about tools that save real hours across rosters, bookings and back-office work.
We work with teams across Melbourne: CBD · Docklands · Richmond · St Kilda · Box Hill · Dandenong.
How we build semantic search (RAG) for a Melbourne team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Melbourne 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 Melbourne teams
The shape of the result for Melbourne teams: Average search time drops from 6 minutes to 12 seconds. Built on Pinecone, hardened with the rest of the stack as it scales.
Average search time drops from 6 minutes to 12 seconds.
Semantic search (RAG) in Melbourne – common questions
What's a typical engagement length for Melbourne 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 Melbourne 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.
Ready to talk specifics?
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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.