The reason we take on work in Emerald is that the businesses here tend to be sharper about what they want than the brief lets on. Semantic search (RAG) for a Emerald team almost always ends up looking different to semantic search (RAG) for a downtown Auckland one.
AI search over your data - wired into a Emerald 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.
- 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
What Emerald teams tell us when they get on a call.
- Emerald sits in the Central Highlands where coal and cotton meet, serving both mines and farms out of one small town.
- Bowen Basin coal, irrigated cotton, grain and the machinery and logistics behind them. Mining procurement and agricultural seasonality pull local businesses in two directions at once.
We work with teams across Emerald: Emerald CBD · Blackwater · Capella · Springsure · Clermont.
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How we build semantic search (RAG) for a Emerald team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Emerald business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Emerald teams
The shape of the result for Emerald teams: Average search time drops from 6 minutes to 12 seconds. Built on Pinecone, hardened with the rest of the stack as it scales.
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
What's the realistic timeline for semantic search (RAG) with a Emerald?
Most Emerald 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 Emerald?
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 Emerald 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.
One short call.
Tell us what you're trying to fix. We'll come back inside a working day.
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Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.