Compare
Wiki vs. RAG tools
Retrieval is not the same as readiness.
RAG tools connect models to documents. Wiki decides whether those documents are reviewed, current, allowed, and safe to cite for each AI application.
| Aspect | RAG platform | Wiki |
|---|---|---|
| Core focus | Retrieval and indexing | Verification, permissions, and answer readiness |
| Source status | Indexed as provided | Lifecycle states with review and ownership |
| Policy enforcement | Limited by default | Access matrix and policy simulator |
| Citations | Depends on implementation | Citation-backed answer testing built in |
| Public docs | Not the primary category | Docs sites from approved knowledge |
When the alternative may fit
A RAG platform may fit when your team already has strong governance elsewhere and mainly needs retrieval infrastructure.
When Wiki fits
Wiki fits when the bottleneck is verified knowledge, permissions, answer behavior, and docs publishing rather than vector search alone.
Your AI is already talking.
Make sure it knows what it is talking about.