California · Applied AI
Semantic search (RAG) in Long Beach
Semantic search (RAG) designed around the way a Long Beach team actually runs.
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.
Long Beach businesses don't need another generic AI pitch. Semantic search (RAG) only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in California.
- 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 Long Beach businesses choose this
Long Beach runs one of the busiest ports in the Western Hemisphere alongside aerospace and healthcare – AI here means keeping freight, scheduling and compliance moving at port speed.
The pattern across Long Beach engagements we've shipped.
The Port of Long Beach and its surrounding logistics, freight-forwarding and customs-brokerage economy sit alongside a growing aerospace and healthcare base. Long Beach businesses want AI that keeps cargo, paperwork and appointments moving without a bottleneck.
We work with teams across Long Beach: Downtown Long Beach · Belmont Shore · Naples · Bixby Knolls · Alamitos Beach · Signal Hill.
How we build semantic search (RAG) for a Long Beach team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Long Beach 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 Long Beach teams
What changes for Long Beach 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 Long Beach – common questions
What's the realistic timeline for semantic search (RAG) with a Long Beach?
Most Long Beach 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".
What does semantic search (RAG) cost for a Long Beach?
Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.
Do you have proof this works for Long Beach businesses?
Direct case study: Average search time drops from 6 minutes to 12 seconds. Happy to walk you through full numbers on a call.
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.
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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.