Semantic search (RAG) in Cromwell.
AI search over your data, built for businesses operating in Cromwell.
What this is
AI search over your data
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.
Average search time drops from 6 minutes to 12 seconds.
How it helps your Cromwell team
What you actually get.
- Indexes Drive, SharePoint, Notion, Slack, your CRM
- Returns answers with source links – no hallucinations
- Permissioned so staff only see what they should
- Re-indexes nightly so results stay fresh
Most of our Cromwell 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.
Average search time drops from 6 minutes to 12 seconds. For Cromwell teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
What's different about doing this work in Cromwell.
Vineyards, cherry and stone-fruit orchards, and accommodation serving year-round tourist flows. AI tools that handle seasonal staffing earn keep fast.
We work with teams in
What we build
Semantic search (RAG), tailored to Cromwell businesses.
- 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
Common questions
Before you book the call.
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 Cromwell – 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.
Can you walk us through a comparable build? +
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Average search time drops from 6 minutes to 12 seconds.
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.