Washington · Applied AI
Semantic search (RAG) in Tacoma
For Tacoma operators who want a working pilot in weeks, not a year-long programme.
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 Tacoma 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 Tacoma businesses choose this
Tacoma runs on port logistics, manufacturing and military, a genuinely industrial counterpart to Seattle up the freeway – AI here means operational reliability over polish.
Why Tacoma businesses are a fit for this.
One of the busiest container ports on the West Coast, a major military presence at Joint Base Lewis-McChord, and a manufacturing base that never left. Tacoma businesses want AI that works the same way every shift, not a flashy demo.
We work with teams across Tacoma: Downtown Tacoma · Point Ruston · Hilltop · Proctor District · Lakewood · Puyallup.
How we build semantic search (RAG) for a Tacoma team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Tacoma 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 Tacoma teams
Average search time drops from 6 minutes to 12 seconds. For Tacoma 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 Tacoma – common questions
When does semantic search (RAG) actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Tacoma – so the savings start landing before the rest of the build is finished.
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 Tacoma businesses are surprised how small the first cheque is.
Has this actually shipped for a real Tacoma?
Yes. Average search time drops from 6 minutes to 12 seconds. We'll share comparable engagements on the call.
Will this run on our own infrastructure?
Yes, where it makes sense. Semantic search (RAG) can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Pinecone, Claude, Postgres pgvector, Vercel AI SDK but the architecture supports your existing platform choices.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.