Washington · Applied AI
Semantic search (RAG) in Spokane
AI search over your data, built for businesses operating in Spokane.
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.
We've worked with enough operators in Spokane to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any semantic search (RAG) project is sit with your team for a day before we propose anything.
- 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 Spokane businesses choose this
Spokane is the commercial hub of the Inland Northwest, running on healthcare, logistics and agriculture far from the Seattle price tag – AI here means real capability at a regional cost.
Why Spokane businesses are a fit for this.
A major regional healthcare network and a logistics and agricultural trade hub serving eastern Washington and Idaho. Spokane businesses want the same AI capability as the coast without paying coastal rates.
We work with teams across Spokane: Downtown Spokane · Browne's Addition · Spokane Valley · South Hill · Kendall Yards · Liberty Lake.
How we build semantic search (RAG) for a Spokane team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Spokane 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 Spokane teams
Average search time drops from 6 minutes to 12 seconds. For Spokane 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 Spokane – common questions
What's a typical engagement length for Spokane businesses?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call – fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
Anyone else in this space using semantic search (RAG)?
Plenty. Average search time drops from 6 minutes to 12 seconds. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.
Can you work with our existing systems?
Yes. The default semantic search (RAG) stack we reach for is Pinecone, Claude, Postgres pgvector, Vercel AI SDK, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
Worth a conversation?
Even if you don't end up working with us, you'll leave the call knowing what's worth building.
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.