Hong Kong Island · Applied AI
Semantic search (RAG) in Quarry Bay
Built and supported here – the way a Quarry Bay business would actually use it.
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 version of semantic search (RAG) that works for a Quarry Bay business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates – usually with fewer parts than the off-the-shelf pitch.
- 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 Quarry Bay businesses choose this
Quarry Bay has become Hong Kong Island's secondary business hub, home to regional offices priced out of Central – AI here means Central-grade capability at a lower cost base.
Where Quarry Bay operators actually lose hours.
A dense cluster of regional headquarters and professional services firms that moved east for the rent, alongside a growing media and publishing sector. Businesses here want the same AI standard as Central without the Central price tag.
We work with teams across Quarry Bay: Tai Koo · North Point · Fortress Hill · Sai Wan Ho.
How we build semantic search (RAG) for a Quarry Bay team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Quarry Bay 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 Quarry Bay teams
Average search time drops from 6 minutes to 12 seconds. For Quarry Bay 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 Quarry Bay – common questions
How long does semantic search (RAG) take to ship for Quarry Bay businesses?
We aim for a working pilot inside 4-6 weeks – narrow scope, real Quarry Bay 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.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
Has this actually shipped for a real Quarry Bay?
Yes. Average search time drops from 6 minutes to 12 seconds. We'll share comparable engagements 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.
Worth a conversation?
Even if you don't end up working with us, you'll leave the call knowing what's worth building.
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.