California · Applied AI
Semantic search (RAG) in Fresno
For Fresno 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.
Most of our Fresno engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. Semantic search (RAG) is then designed against the detail, not the shape.
- 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 Fresno businesses choose this
Fresno is the commercial hub of the Central Valley, the most productive agricultural region in the country – AI here means turning harvest and logistics data into decisions.
What's different about doing this work in Fresno.
Almonds, grapes and a huge share of the nation's produce move through Fresno's agribusiness and packing economy. Fresno businesses want AI that handles forecasting, logistics and seasonal staffing without a Silicon Valley budget.
We work with teams across Fresno: Downtown Fresno · Tower District · Clovis · Fig Garden · Woodward Park · Sunnyside.
How we build semantic search (RAG) for a Fresno team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Fresno 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 Fresno teams
What changes for Fresno teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Average search time drops from 6 minutes to 12 seconds.
Average search time drops from 6 minutes to 12 seconds.
Semantic search (RAG) in Fresno – 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 Fresno – so the savings start landing before the rest of the build is finished.
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.
Do you have proof this works for Fresno businesses?
Direct case study: Average search time drops from 6 minutes to 12 seconds. Happy to walk you through full numbers on a 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.
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