Knoku
Summary
Support tickets pile up on the questions your docs already answer — because users won't read through five pages of Markdown to find one sentence. Knoku sits in front of those docs and returns a cited answer before the user opens a ticket.
Knoku indexes public and internal sources — crawled websites, GitHub Markdown, Notion runbooks, Confluence spaces, Jira tickets, Zendesk help articles, and OpenAPI schemas — into a single project index, then serves answers through an embeddable widget, Slack, and API. Citations point back to the source file, so users can verify the answer without trusting a black box. The built-in analytics track deflection rates, repeated questions, and knowledge gaps, which means you see where your docs are failing without exporting data to a separate analytics tool. The ceiling appears when you need answers that require synthesizing information across sources in ways that demand reasoning rather than retrieval — and there is no self-hosted option, so every query touches Knoku's infrastructure.
Bottom line: Pick this for a SaaS support deflection layer over docs you already maintain; plan a different architecture when your compliance requirements prohibit third-party query processing or when your answer quality problem is a docs quality problem no retrieval layer can fix.
Pricing Plans
Subscription- Price
- $0 - $129+/month
- Free Tier
- 250 messages/month, 250 indexed pages, 10 team seats
Free
Free forever
- 250 messages/month
- 250 indexed pages
- 10 team seats
- Core features included
Business
For growing SaaS teams
- 5,000 messages/month
- 10,000 indexed pages
- Unlimited team seats
- 14-day trial
Enterprise
SSO and org audit log
- Custom limits
- Priority support
- Org audit log
View full pricing on knoku.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Scheduled website crawls and commit-triggered GitHub syncs keep the index current without manual re-indexing, so answers don't drift from the live docs.
- Citations link back to the originating source file on every answer, which means users can verify claims and support teams can audit what the assistant said — no black-box outputs.
- OpenAPI and Swagger schema indexing lets the assistant answer endpoint-level questions from your reference docs, so API questions deflect alongside prose documentation queries.
- Built-in deflection and gap analytics surface repeated unanswered questions inside the tool, so identifying docs debt doesn't require a separate analytics pipeline.
- API access alongside the embeddable widget and Slack integration means teams can pipe answers into existing workflows without being locked to the chat UI.
Cons
Sign in to edit- Answer quality is bounded by source quality: if the indexed docs are incomplete or contradictory, the retrieval layer returns confidently cited wrong answers. Teams hit this wall early when docs coverage is uneven, and the fix is rewriting documentation — not adjusting Knoku settings.
- There is no self-hosted or private-cloud deployment option, so every user query is processed on Knoku's infrastructure. Teams under data residency or compliance requirements that prohibit third-party query processing cannot use this tool and move to self-hostable open-source retrieval stacks instead.
- Advanced analytics and additional source integrations are paid-only features, meaning teams on the free tier are working with a subset of the integration surface and limited visibility into deflection data — they upgrade or export manually.
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About
- Platforms
- Web
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-06-19T21:29:25.906Z
Best For
Who it's for
- SaaS teams managing documentation
- Customer support deflection
- Technical product knowledge bases
What it does well
- Embedding AI chat on SaaS product sites
- Deflecting support queries with sourced answers
- Syncing internal docs for team Q&A
Integrations
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Frequently Asked Questions
- Is Knoku free?
- Knoku is a paid tool ($0 - $129+/month). A 14-day free trial is available.
- Is Knoku open source?
- No — Knoku is a closed-source tool. Source code is not publicly available.
- Does Knoku have an API?
- Yes. Knoku exposes a developer API. See the official documentation at https://knoku.com for details.
- What platforms does Knoku support?
- Knoku is available on: Web.
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Curated lists that include this category
Knoku connects to a team’s existing documentation sources and builds a unified cited index that answers user questions through an embeddable chat widget, a Slack integration, and a REST API. The core workflow is point-and-index: crawl a public docs site on a schedule, sync Markdown from a GitHub repo on each commit, pull runbooks from Notion or Confluence, or upload PDFs directly. Answers surface with citations linked back to the originating source file, so the tool functions as a retrieval layer over content teams already own rather than a new content system.
The differentiating feature is the gap analytics layer. Rather than logging queries into a void, Knoku tracks which questions went unanswered — meaning no source contained a confident match — alongside deflection counts by channel and traffic patterns by source. Teams use this to identify which docs pages to write next, without exporting support data into a separate BI tool.
Knoku fits SaaS teams whose documentation already exists and whose support load is dominated by questions the docs technically answer. It breaks when the underlying docs are thin, inconsistent, or poorly structured — retrieval quality is bounded by source quality, and no amount of indexing fixes a knowledge gap. The tool also hits a wall for teams with compliance requirements that prohibit external query processing, since there is no self-hosted deployment path. Teams with those constraints typically route to open-source retrieval stacks they can run on their own infrastructure.
Integration coverage includes GitHub Discussions, Issues, and PRs in addition to Markdown files; Jira tickets for known issues and release context; Zendesk Help Center sections; and hosted OpenAPI or Swagger schemas so the assistant can answer endpoint-level questions. All source types feed the same index, and each answer carries a citation to the specific file or ticket it drew from.