California · Applied AI
Semantic search (RAG) in Riverside
AI search over your data, built for businesses operating in Riverside.
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 Riverside 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 Riverside businesses choose this
Riverside and the Inland Empire run on logistics and warehousing for the entire West Coast import economy – AI here means keeping a huge freight and fulfilment operation moving.
Where Riverside operators actually lose hours.
One of the largest warehousing and logistics corridors in the country, feeding goods from the ports of LA and Long Beach out across the US. Riverside businesses want AI that handles scheduling, routing and workforce coordination at genuine scale.
We work with teams across Riverside: Downtown Riverside · Canyon Crest · San Bernardino · Ontario · Corona · Moreno Valley.
How we build semantic search (RAG) for a Riverside team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Riverside 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 Riverside teams
Average search time drops from 6 minutes to 12 seconds. For Riverside 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 Riverside – common questions
How long does semantic search (RAG) take to ship for Riverside businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Riverside 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 Riverside businesses are surprised how small the first cheque is.
Anyone else in this space using semantic search (RAG)?
Plenty. Average search time drops from 6 minutes to 12 seconds. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.
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.
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Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.