The reason we take on work in Port Hedland is that the businesses here tend to be sharper about what they want than the brief lets on. Semantic search (RAG) for a Port Hedland team almost always ends up looking different to semantic search (RAG) for a downtown Auckland one.
Semantic search (RAG) that lives in your stack, not on a vendor's roadmap. Shipped from Western Australia.
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.
- 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
Without Koala Dynamics
With Koala Dynamics
Our field notes from Port Hedland builds.
- Port Hedland moves more tonnage than any other port on earth, and every supplier around it works to mining-grade compliance.
- Iron ore export at enormous scale, plus the contracting, logistics and camp services behind it. Supplier prequalification, safety records and shift coordination dominate the administrative load.
We work with teams across Port Hedland: Port Hedland · South Hedland · Wedgefield · Pretty Pool · Karratha Road.
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How we build semantic search (RAG) for a Port Hedland team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Port Hedland business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Port Hedland teams
We'd call the engagement a success when Port Hedland teams are using the system without thinking about us. Average search time drops from 6 minutes to 12 seconds.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
How fast could we have semantic search (RAG) in production?
Eight to ten weeks for most Port Hedland 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 does semantic search (RAG) cost for a Port Hedland?
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 Port Hedland 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 if our Port Hedland 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.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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.