Tasmania · Applied AI
Semantic search (RAG) in Hobart
AI search over your data – wired into a Hobart workflow, not bolted on the side.
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.
Hobart 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 Tasmania.
- 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 Hobart businesses choose this
Hobart runs on tourism, aquaculture and a small but sharp professional services scene – AI here has to work for teams that don't have a big back office to absorb a bad tool.
The pattern across Hobart engagements we've shipped.
Salmon and seafood exports, a tourism season built around MONA and the wider arts scene, and a compact CBD professional layer. Hobart businesses need AI that's genuinely easy to run without dedicated IT staff.
We work with teams across Hobart: Hobart CBD · Battery Point · Glenorchy · Kingston · Sandy Bay · Moonah.
How we build semantic search (RAG) for a Hobart team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Hobart 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 Hobart teams
Average search time drops from 6 minutes to 12 seconds. For Hobart 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 Hobart – common questions
What's the realistic timeline for semantic search (RAG) with a Hobart?
Most Hobart 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 Hobart?
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.
Do you have proof this works for Hobart businesses?
Direct case study: Average search time drops from 6 minutes to 12 seconds. Happy to walk you through full numbers on a 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.
Sketch this with us.
We'll map your real workflow before quoting anything.
Get in touch
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.