Knoku
Cited AI answers from your docs, GitHub and Notion across widget, Slack and API
About Knoku
Knoku turns a technical team's scattered sources into one cited AI answer layer that deflects support tickets. It crawls a public documentation site on a schedule with no framework lock-in, syncs Markdown from a GitHub repository so answers stay current on each commit and cite back to the exact file, and pulls in GitHub Discussions, issues and pull requests, Notion runbooks and CS macros, Confluence spaces, Jira tickets for known issues and release context, Zendesk Help Center articles, uploaded PDFs, and a hosted OpenAPI or Swagger schema so the assistant knows your actual endpoints. Everything lands in one project index that answers through an embeddable widget, Slack, Discord or an API, and every answer carries citations back to its source rather than asserting things unattributably. The analytics side is what distinguishes it from a generic docs chatbot: it tracks deflection (how many questions were answered before becoming tickets), traffic by channel, the repeated questions worth fixing at the source, and — most usefully — the unanswered gaps where your documentation has nothing to say, all without exporting support data into a separate tool. There is no per-seat charge on any plan and a dedicated Open Source plan for public projects.
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Key Features
Knoku Pros & Cons
✅ Pros
- +Every answer is cited rather than unattributed
- +Surfaces documentation gaps, not just answered questions
- +No per-seat pricing and a free Open Source plan
⚠️ Cons
- −Plan prices are not readable without a browser
- −Answer quality is bounded entirely by your documentation
- −Crowded category with well-funded incumbents
Who Is Knoku Best For?
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