Texas · Applied AI
Semantic search (RAG) in Houston
Semantic search (RAG) that lives in your stack, not on a vendor's roadmap. Shipped from Texas.
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 reason we take on work in Houston is that the businesses here tend to be sharper about what they want than the brief lets on. Semantic search (RAG) for a Houston team almost always ends up looking different to semantic search (RAG) for a downtown Auckland one.
- 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 Houston businesses choose this
Houston runs on energy, petrochemicals and one of the country's biggest medical centres – AI here means handling compliance-heavy, high-stakes work without cutting corners.
Our field notes from Houston builds.
The energy capital of the US, a huge petrochemical complex along the Ship Channel, and the Texas Medical Center, one of the largest hospital systems in the world. Houston businesses want AI that's rigorous first, fast second.
We work with teams across Houston: Downtown · The Woodlands · Sugar Land · Katy · Energy Corridor · Midtown.
How we build semantic search (RAG) for a Houston team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Houston 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 Houston teams
Average search time drops from 6 minutes to 12 seconds. For Houston 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 Houston – common questions
What's the realistic timeline for semantic search (RAG) with a Houston?
Most Houston 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".
Is semantic search (RAG) worth it for a smaller Houston?
Often, yes – and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.
What's the realistic outcome for Houston 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.
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.