RAG Knowledge System
Turn your own documents into instant, consistent answers for your team and customers.
A RAG knowledge system lets AI answer from your business's own documents — turning locked internal knowledge into instant, consistent answers. Every build starts with a paid audit.
What RAG Knowledge System changes
- →Instant, consistent answers
- →Faster onboarding
- →Less time hunting for information
Independent, industry-standard benchmarks — each cited to its primary source, not Makavele's own results. Your numbers depend on your business.
How RAG Knowledge System works
- 01
Connect sources
We index your documents and set access rules.
- 02
Build retrieval
AI answers strictly from your knowledge, with citations.
- 03
Operate
We keep it current as your docs change.
Who RAG Knowledge System is for
- Teams with deep internal knowledge — professional services, SaaS, support
Scope
Every build starts with a paid audit.
Starter
Single knowledge base
- →One knowledge source
- →Cited answers
- →Basic access controls
Growth
Multi-source
- →Multiple sources
- →Access controls by role
- →Usage insight
Scale
Org-wide
- →Org-wide knowledge
- →Governance
- →Dedicated maintenance
FAQ
Will it make things up?+
It answers from your documents and cites them, rather than guessing. That's the point of retrieval — grounded, consistent answers instead of open-ended generation.
Who is it for?+
Any team where the right answer lives in documents — policies, SOPs, product docs — and people waste time hunting for it or answering inconsistently.
Let's talk.
Tell us what's bleeding hours. We'll tell you honestly if AI fixes it.