New South Wales · Applied AI
Semantic search (RAG) in Newcastle
AI search over your data – wired into a Newcastle 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.
Newcastle 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.
- 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 Newcastle businesses choose this
Newcastle's port, energy and manufacturing base is shifting fast toward renewables and advanced manufacturing – AI here means keeping a lean team ahead of that transition.
What we keep seeing in Newcastle.
The world's largest coal export port sits alongside a growing renewable energy and advanced manufacturing sector. Newcastle businesses want practical automation for logistics, quoting and reporting, not a research project.
We work with teams across Newcastle: Newcastle CBD · Hamilton · Charlestown · Maitland · Mayfield · Lake Macquarie.
How we build semantic search (RAG) for a Newcastle team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Newcastle 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 Newcastle teams
Average search time drops from 6 minutes to 12 seconds. For Newcastle 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 Newcastle – common questions
How fast could we have semantic search (RAG) in production?
Eight to ten weeks for most Newcastle businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for Newcastle businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
What's the realistic outcome for Newcastle 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 if our Newcastle doesn't have any data ready?
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For semantic search (RAG) specifically, we typically run that work on Pinecone, Claude, Postgres pgvector, Vercel AI SDK and assume messy starting conditions from day one.
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.