Texas · Applied AI
Semantic search (RAG) in Dallas
Built and supported here – the way a Dallas 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.
The version of semantic search (RAG) that works for a Dallas 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 Dallas businesses choose this
Dallas-Fort Worth runs on corporate headquarters, logistics and financial services – AI here means matching the pace of a metro that's absorbed more corporate relocations than almost anywhere else.
What's different about doing this work in Dallas.
One of the biggest concentrations of Fortune 500 headquarters in the country, a major logistics and distribution hub, and a financial services sector that keeps growing. Dallas businesses want AI built for scale from day one.
We work with teams across Dallas: Downtown Dallas · Uptown · Plano · Frisco · Fort Worth · Irving.
How we build semantic search (RAG) for a Dallas team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Dallas 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 Dallas teams
Average search time drops from 6 minutes to 12 seconds. For Dallas 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 Dallas – common questions
How long does semantic search (RAG) take to ship for Dallas businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Dallas 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.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
What's the realistic outcome for Dallas 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.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
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.