Kowiki search lets your team find information across every page they have access to. Whether you are looking for a specific document or exploring a topic, search works across page content, titles, summaries, and tags to surface relevant results.
When you type a query, Kowiki searches across:
Results are ranked by relevance, with exact matches and title matches weighted more heavily. Pages in sections you do not have permission to view never appear in your results.
The primary search experience lives in the web wiki.
After searching, you can narrow results using filters:
Filters combine with each other. For example, you can search for "deployment" within the "Engineering" section tagged with "infrastructure."
Kowiki offers AI-powered search that understands the intent behind your query rather than matching keywords alone.
With AI search enabled:
AI-powered search is available on select plans. Workspaces on plans without AI search use standard keyword matching, which still searches across all content, titles, summaries, and tags.
For more on AI capabilities, see the AI Knowledge Agent overview.
Your team can search your knowledge base without leaving their messaging tools.
/kowiki search [your query] in any channel or DM.Search from Slack and Teams respects the same permissions as the web wiki. Users only see results for content they are authorized to access.
The more specific your query, the better your results. Instead of searching "process," try "customer onboarding process" or "deploy to production."
If you know the topic area, combine a broad query with a tag filter. For example, search "setup" and filter by the onboarding tag to find setup guides for new team members.
When you know which part of the knowledge base holds your answer, navigate to that section directly instead of searching. Section browsing is faster for known locations.
Summaries often contain keywords and phrases that differ from the page body. If a keyword search misses what you need, try alternative phrasing — the AI summary may use different terminology.
In workspaces with hundreds of pages, section filters dramatically reduce noise. Filter to the relevant section before scanning results.
Search results respect your knowledge base's permission model:
No configuration is needed — search automatically enforces section-level permissions.