The version of semantic search (RAG) that works for a Logan 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.
Built and supported here - the way a Logan business would actually use it.
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
The Logan context, plainly.
- Logan is trades, logistics and light manufacturing between Brisbane and the Gold Coast, with one of the most diverse populations in the country.
- A dense band of transport, warehousing, manufacturing and home services businesses serving two capitals at once. Multilingual customer contact and after-hours enquiries are both bigger factors here than the numbers suggest.
We work with teams across Logan: Logan Central · Springwood · Beenleigh · Browns Plains · Meadowbrook.
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How we build semantic search (RAG) for a Logan team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Logan business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Logan teams
We'd call the engagement a success when Logan 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 long does semantic search (RAG) take to ship for Logan businesses?
We aim for a working pilot inside 4-6 weeks - narrow scope, real Logan businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.
How do you price semantic search (RAG) engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Logan businesses are surprised how small the first cheque is.
Can you walk us through a comparable build?
Yes - on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Average search time drops from 6 minutes to 12 seconds.
Who owns the code and the model setup?
You do, on delivery. We deploy semantic search (RAG) into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Pinecone sits in your account too - we don't operate it from ours.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
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.