Wiki vs. a traditional knowledge base
Storage is not the same as governance.
Knowledge bases store content. Wiki helps govern what AI may use, who can see it, how it is tested, and when it is safe to publish.
| Aspect | Traditional knowledge base | Wiki |
|---|---|---|
| Primary job | Store and organize content | Govern knowledge for AI applications |
| Review workflow | Varies by product | Built-in verification and review queues |
| AI permissions | Usually not application-specific | Policy-aware access per AI application |
| Answer testing | Not typically included | Playground, test cases, evaluations |
| Hosted docs | Often included | Published from approved sources with health checks |
When the alternative may fit
A traditional knowledge base may be the better fit when you only need a searchable content repository without AI-specific verification, permissions, or answer testing.
When Wiki fits
Wiki fits when customer-facing or internal AI applications need reviewed sources, permission boundaries, citations, and publishing from the same governed knowledge.
Your AI is already talking.
Make sure it knows what it is talking about.