Use cases
Team wiki
A shared knowledge base that's always searchable, so you onboard people without repeating yourself.

Every team has a body of knowledge that isn't written down anywhere useful. It's in Slack threads, in the heads of people who've been around longest, in a Google Doc that someone wrote once and nobody can find, in an onboarding guide from two years ago that's half out of date. New people ask the same questions. Experienced people answer them again. And the answers vary depending on who you ask, because the single source of truth doesn't exist. The wiki isn't missing because nobody tried. It's missing because the tools people tried, Confluence, Notion, a shared drive, require someone to maintain them, and maintenance always loses to actual work.
This page is for team leads, operations people, and anyone responsible for keeping shared knowledge accessible, who needs a team wiki that stays searchable without requiring constant upkeep.
The problem
Knowledge lives in people's heads. The most important things a team knows, how decisions get made, why the process works this way, where to find the thing, are stored in the memories of the people who've been there longest. When they're busy, the team waits. When they leave, the knowledge leaves with them.
The existing wiki is out of date. Someone set up Confluence or a Notion workspace. It was useful for a month. Then pages stopped being updated, new processes weren't added, and the information that's there is no longer reliable. An out-of-date wiki is worse than no wiki, because people don't know which parts to trust.
People ask the same questions repeatedly. "Where's the brand guidelines doc?" "What's the process for requesting time off?" "How do we set up a new client?" Every repeated question is a sign that the answer isn't findable. The cost isn't just the time to answer. It's the interruption, the delay, and the signal that the team's knowledge infrastructure isn't working.
What Fabric changes
Shared knowledge is always searchable. Everything the team puts into Fabric, documents, processes, guides, templates, decisions, is searchable by meaning. When someone has a question, they search for it and find the answer, regardless of when it was written, what it was called, or where it sits in the structure.
The wiki doesn't have to be perfectly maintained to be useful. Because search works by meaning, not by navigation, the wiki is useful even if its structure isn't perfect. A document that hasn't been reorganised in six months is still findable by what it says. The pressure to maintain a tidy page hierarchy drops when search actually works.
The AI answers questions from the wiki. Instead of searching and reading, team members can ask the assistant directly. "What's our process for onboarding a new client?" gets an answer drawn from the wiki's content, with references to the relevant documents. The wiki becomes conversational.
How it works
A shared space for team knowledge. Create a Fabric space and invite the team. Add processes, guides, templates, policies, reference documents, and anything else the team needs to know. The space is the wiki.
Search across everything by meaning. Fabric's AI search reads inside every document, note, and file in the wiki and searches by meaning. "How do we handle refunds" finds the relevant process whether it's in a document titled "Refund Policy" or buried in a paragraph of a broader operations guide.
An AI that answers from the wiki. The AI assistant works from the content in the shared space. Team members ask it questions in plain language and get answers drawn from the wiki, with references. This is faster than searching and reading, and it means the wiki is useful even to people who don't know what to search for.
Write and update together. Use notes and docs to write and maintain wiki content collaboratively. Anyone on the team can add, edit, or update a document.
Capture knowledge from other sources. Forward a useful email to the email-to-note address. Save a Slack message as a note. Record a process explanation as a voice note and let Fabric transcribe it. Pull in existing documents from Google Drive, Notion, or Dropbox. Knowledge enters the wiki from wherever it currently lives.
Annotate documents with context. Annotate directly on wiki documents with clarifications, updates, or caveats. The annotations are searchable and keep the context visible without requiring a full rewrite.
Track outstanding documentation tasks. Use tasks and reminders to track which processes still need to be documented, which pages need updating, and who's responsible.
A team wiki workflow in Fabric
Start with what exists. Don't try to write everything from scratch. Import existing documents from Google Drive, Notion, or Dropbox. Forward useful email threads. Save the best Slack explanations as notes. The wiki starts from the knowledge that already exists in other tools.
Add knowledge as it's created. When someone explains a process, writes a guide, or documents a decision, it goes into the wiki space. The habit is adding to the wiki at the moment of creation rather than planning a separate documentation sprint.
When someone asks a question, point them to search. Instead of answering the same question again, redirect to the wiki. "Search for 'refund process' and it'll come up." If it doesn't come up, that's the signal to add it.
Let the AI handle the easy questions. For straightforward factual questions about processes and policies, the assistant gives answers directly from the wiki content. This reduces the interruption load on experienced team members.
Review and update periodically. Use tasks to flag pages that need review. Annotate documents with "last verified" notes. The wiki doesn't need to be perfect, but it does need to be roughly current to be trusted.
What compounds over time
A team wiki in Fabric gets more useful every week. Every process documented, every decision captured, every guide written adds to the body of searchable knowledge. After six months, the wiki answers questions that would have taken ten minutes to track down. After a year, it's an institutional resource that makes the team measurably faster.
The compounding accelerates with team size. A two-person team can keep knowledge in their heads. A ten-person team can't. A twenty-person team with a well-maintained wiki operates fundamentally differently from one without, because the cost of finding information is minutes instead of hours, and new people become productive faster.
The AI's answers improve as the wiki grows. More content means more context for the assistant to draw on, so the quality and completeness of answers increases alongside the wiki's coverage.
For guidance on building team knowledge, see the guides to setting up a collaborative workspace, onboarding collaborators, and building a template library.
Related use cases
For the specific new-hire experience, see onboarding new team members. For per-project knowledge rather than team-wide, see project documentation. For managing a team's brand and file library, see digital asset management. For a feedback and approval workflow on shared documents, see review and approval. Fabric supports teams of all sizes.
Get started
Build a team wiki that's always searchable and stop answering the same questions twice. Try Fabric free.
Comparing tools? See why teams choose Fabric as the best team knowledge base, the best internal wiki software, and the best Confluence alternative.
FAQs
Can the AI answer questions from the wiki directly?
Yes. The AI assistant works from the content in the shared space. Team members ask questions in plain language and get answers drawn from the wiki, with references to the source documents.
Does the wiki have to be perfectly organised to be useful?
No. Because search works by meaning, a document is findable by what it says, not by where it sits in a page hierarchy. You can improve the structure over time, but the wiki is useful from day one as long as the content is there.
Can I import existing documentation from Notion, Google Drive, or Confluence?
Yes. Fabric connects to Google Drive, Notion, and Dropbox. You can bring in existing documents without rewriting them. For Confluence, export your pages and import them into Fabric.
Can multiple team members add and edit wiki content?
Yes. Share the space with your team and everyone can add, edit, and update documents. The wiki is a collective resource, not one person's responsibility.
Can I search across the entire wiki by meaning?
Yes. Fabric's AI search reads inside every document, note, and file and searches by what things are about, not just by title or keywords. "How do we handle international shipping" finds the answer even if the document is titled "Logistics Policy."
Can I track which wiki pages need updating?
Yes. Use tasks and reminders to flag pages for review, assign ownership, and track what's outstanding. Annotate documents with "last reviewed" notes to keep the wiki's currency visible.
Can I save Slack conversations and emails as wiki content?
Yes. Forward emails to your email-to-note address. Copy and save Slack messages as notes. Record a verbal explanation as a voice note and Fabric transcribes it. Knowledge enters the wiki from wherever it currently lives.
How is this different from Confluence or Notion as a team wiki?
Confluence and Notion are page-based wikis that require deliberate structure and maintenance. Fabric adds AI search by meaning across all content types (not just wiki pages), an AI assistant that answers questions directly from the wiki, and the ability to hold documents, files, images, and voice recordings alongside written pages. The difference is a wiki that works even when the structure isn't perfect, because search and AI handle the discovery.
Can I control who has access to the wiki?
Yes. You control who's invited to the shared space. Access is per-space, so you can have separate wikis for different teams or levels of confidentiality.
Does it work for remote and distributed teams?
Yes. Fabric syncs across devices and is accessible from anywhere. A remote team member searches the wiki the same way an in-office one does. The AI assistant is especially useful for distributed teams where you can't just tap someone on the shoulder.
Can I use the wiki for external-facing documentation too?
Yes. Publish specific documents or collections from the wiki with a link, optionally with password protection. Useful for sharing processes with contractors, clients, or partners without giving them access to the whole wiki.
Is there a limit on team size?
No hard limit. Fabric supports teams from a few people to much larger organisations. The wiki scales with the team.





