Queensland · Applied AI
Semantic search (RAG) in Brisbane
Semantic search (RAG) designed around the way a Brisbane team actually runs.
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.
Brisbane businesses don't need another generic AI pitch. Semantic search (RAG) only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Queensland.
- 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 Brisbane businesses choose this
Brisbane is in the middle of an infrastructure and population boom running through to the 2032 Olympics – AI here is about keeping growing businesses from drowning in their own admin.
What Brisbane teams tell us when they get on a call.
Construction, property and a fast-growing professional services base are all hiring faster than they can train people. Brisbane teams need automation that lets a smaller back office keep pace with a bigger front line.
We work with teams across Brisbane: CBD · Fortitude Valley · South Bank · Chermside · Ipswich · Springfield.
How we build semantic search (RAG) for a Brisbane team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Brisbane 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 Brisbane teams
Average search time drops from 6 minutes to 12 seconds. For Brisbane teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
Average search time drops from 6 minutes to 12 seconds.
Semantic search (RAG) in Brisbane – common questions
What's the realistic timeline for semantic search (RAG) with a Brisbane?
Most Brisbane 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".
What does semantic search (RAG) cost for a Brisbane?
Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.
What's the realistic outcome for Brisbane 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.
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.
Sketch this with us.
We'll map your real workflow before quoting anything.
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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.