Internal wiki and search

Most companies have already written down much of what staff need to know. The trouble is finding it. Pages sit in a wiki, a shared drive, a ticketing system, chat threads and a dozen app-specific places, and people end up asking a colleague instead. Internal wikis give that knowledge a home, and workplace search tools help people find it across every system at once.

An internal wiki is a set of linked pages anyone on the team can create and edit. Good wiki tools make writing easy, organize pages into spaces or collections, and offer search that actually returns the right page. Some add verification, where an owner confirms a page is still correct on a schedule, and readers see when it was last checked. That small feature does a lot for trust. Open-source wikis are an option for teams that want to host their own and control their data.

Workplace search tools take a different approach. Rather than holding content, they connect to the apps where it already lives and build one index across them, respecting each user's permissions in the original app. Many now add an AI assistant that answers a question in plain language and cites the documents behind the answer. For a documentation team, these tools can show which guides people find and which questions return nothing.

Featured AI documentation tools: internal wiki and search

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What a featured listing costs · from $99 a month

9 AI documentation tools in internal wiki and search

Nuclino

Team wiki with real-time editing, linked pages and a graph view of how documents connect.

Free plan or free tier

BookStack

Free, open-source wiki you host yourself, organized as shelves, books, chapters and pages.

Free plan or free tier
Developer API
Can be self-hosted

Wiki.js

by Requarks

Open-source wiki built on Node.js, with Markdown and visual editors, Git storage sync and many login options.

Free plan or free tier
Developer API
Can be self-hosted

Glean

Workplace search and AI assistant that indexes company apps and answers questions with links to the source documents.

Developer API

Slab

Internal knowledge base with a clean editor, topics for organizing pages and unified search across connected apps.

Tettra

Internal knowledge base with page verification reminders and an AI assistant that answers staff questions from your pages.

Outline

Team knowledge base with a Markdown-friendly editor, available as a hosted service or as open-source software you run yourself.

Developer API
Can be self-hosted

Coveo

AI search platform used to power search across help centers, support portals and workplace content.

Developer API

Atlassian Rovo

by Atlassian

AI search and chat across Atlassian products and connected apps, answering questions from Confluence pages and other sources.

Both approaches depend on the quality of what is underneath. Search and AI answers surface outdated pages just as readily as current ones, and duplicates confuse readers and assistants alike. Before or alongside rolling out a tool, archive pages nobody owns, merge duplicates and assign owners to the pages that matter most.

When comparing tools, check how permissions are handled, especially for search tools that read many systems; where data is stored and processed; which of your apps have connectors; and what reporting you get on failed searches and popular pages. For wikis, check the editor, page history, export formats and how easily a page can be moved or retired.

Rollout matters as much as the tool. Seed a new wiki with the pages people ask about most, link to it from chat and onboarding, and answer repeat questions with a link instead of a fresh explanation. Search tools need the same push: tell staff what they can search, and collect examples of failed searches to fix the content behind them.

Questions about internal wiki and search

Should we build a wiki or add workplace search?

It depends on where knowledge lives. If it is scattered across many apps that teams will keep using, search across them helps quickly. If there is no good home for written knowledge, a wiki gives one. Many companies end up with both.

Do AI search assistants respect document permissions?

Well-built ones check each user's access in the source app and only search what that person could open there. Ask vendors exactly how permissions sync, how quickly changes apply, and test with accounts that have different levels of access.

How do we stop a wiki going stale?

Give important pages an owner and a review date, archive pages nobody claims, and make it easy for readers to flag problems. Tools with page verification reminders help. A smaller wiki that people trust beats a large one full of old pages.

Is a self-hosted wiki worth it?

For teams with data rules that require keeping content on their own servers, or that want full control and no per-user fees, yes. Someone has to handle updates, backups and security, so count that time when comparing with a hosted service.