Arizona · Applied AI
Semantic search (RAG) in Phoenix
AI search over your data, built for businesses operating in Phoenix.
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.
The version of semantic search (RAG) that works for a Phoenix 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.
- 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 Phoenix businesses choose this
Phoenix is one of the fastest-growing metros in the country, running on construction, semiconductors and a booming population – AI here means scaling a business as fast as the city around it.
Why Phoenix businesses are a fit for this.
A major semiconductor manufacturing build-out, a construction boom keeping pace with population growth, and a services sector racing to keep up with both. Phoenix businesses want AI that scales without a hiring spree.
We work with teams across Phoenix: Downtown Phoenix · Scottsdale · Tempe · Chandler · Mesa · Glendale.
How we build semantic search (RAG) for a Phoenix team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Phoenix 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 Phoenix teams
If we build the right slice first, Phoenix teams feel the difference inside the first month. Average search time drops from 6 minutes to 12 seconds.
Average search time drops from 6 minutes to 12 seconds.
Semantic search (RAG) in Phoenix – common questions
How long does semantic search (RAG) take to ship for Phoenix businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Phoenix 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 Phoenix businesses are surprised how small the first cheque is.
What's the realistic outcome for Phoenix 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.
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.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
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.