AI · Automation
RAG knowledge bases
Search, ask and act across your private docs.
Retrieval-augmented chatbots and search built on your documents, drives and databases. Citations, access control and freshness baked in.
RAG knowledge bases
by SuGow
Capabilities
Everything rag knowledge bases should do — and a few it usually doesn’t.
Document, drive and DB connectors
Hybrid retrieval (BM25 + vectors)
Citations on every answer
Per-document access control
Eval harness for accuracy
Use cases
Built for teams like yours
Common scenarios where this product or service delivers the highest leverage.
- Internal knowledge assistants
- Customer self-serve over docs
- Sales-enablement search
Tech stack
Tools we typically reach for
Chosen for fit, not fashion. Swappable based on your team’s constraints.
Pricing
Custom-scoped, transparent.
Starter engagements from a fixed scope. Long-term partnerships with monthly retainers. Talk to sales for an exact estimate.
Request a quoteFAQ
Common questions about rag knowledge bases
How long does a typical rag knowledge bases project take?+
It depends on scope. Small focused engagements ship in 2–4 weeks. Full builds typically run 6–12 weeks with a phased rollout.
Do you offer ongoing support after launch?+
Yes. Every engagement comes with a defined support window, and most clients move to a monthly retainer for continuous iteration and on-call coverage.
Can we self-host or do you provide hosting?+
Both. We can deploy to your cloud accounts (AWS, GCP, Azure, on-prem) or host and operate it for you under SLA.
Will I own the code and data?+
100%. All code, IP and data belong to you. We provide full documentation, repos and runbooks at handover.
Ready to scope a rag knowledge bases project?
Send a brief, a sketch or a question. We reply within one business day.