The best knowledge base software with AI for a small business is the one your team will actually keep writing in, and whose AI can answer questions from your own pages with a source. Notion and Confluence suit teams that want docs and wiki in one flexible tool; Guru, Tettra and Slab focus on verified answers and simple wikis; Orakis puts the knowledge base next to goals and tasks so the AI also knows the current work. This guide compares them for teams of about 5 to 100 people.
Why AI changed knowledge bases
A classic wiki has one weakness: people have to search it, and most don't. They ask a colleague instead. In Atlassian's 2025 survey, 56% of respondents said the only way to get key project information is to ask someone or hold a meeting, and leaders and teams said they lose 25% of their time searching for answers (Atlassian State of Teams, 2025).
AI changes the interaction. Instead of searching, people ask a question in plain language and get an answer drawn from the company's pages, with a link to the source. That makes a knowledge base useful even to people who never browse it. But it also raises the bar: the AI is only as good as what's written down and how current it is.
What to look for
- Answers with sources. The AI should cite the page it used, so people can check it.
- Where answers appear. In the tool only, or also in Slack, Teams or your AI assistant?
- Keeping content current. Verification reminders, owners, or AI that flags stale pages.
- Search across other tools. Can it also answer from Google Drive, Slack or other apps?
- Connection to the work. Does it know your projects and tasks, or only documents?
- Simplicity. Small teams abandon tools that need a full-time admin.
- AI pricing. Check whether AI is included in your plan or a paid add-on.
The tools
Features change often. This overview reflects November 2026 and is based on each vendor's website; check before deciding.
Notion
A flexible workspace for docs, wikis and databases. Notion AI includes an agent that can create and edit pages, custom agents that run on a schedule or trigger (for example answering questions in Slack), AI meeting notes, and Enterprise Search, which answers with citations across your workspace and connected apps such as Slack, Google Drive and GitHub. Notion says it does not train its models on customer data. Good for: teams that already write a lot and want wiki, docs and simple project databases in one place. Keep in mind: flexibility means you design the structure yourself; many AI features sit in the Business plan and above.
Confluence (with Rovo)
Atlassian's wiki, with Rovo as its AI layer. Rovo searches across Confluence, Jira and connected third-party apps, offers chat for questions and catch-up, and includes prebuilt and custom agents built with Studio. It is available on Standard, Premium and Enterprise cloud plans. Good for: teams already using Jira or other Atlassian products. Keep in mind: strongest inside the Atlassian ecosystem; can feel heavy for a small non-technical team.
Guru
Positions itself as a governed knowledge layer for enterprise AI. Answers come with citations and are scoped by role, and they're delivered where people work, such as Slack, the browser and AI assistants (including via MCP). Verification is central, and Guru's Knowledge Agents flag conflicting or stale content, merge duplicates and surface knowledge gaps. Good for: teams where accuracy matters, such as support, sales enablement and HR policies. Keep in mind: built around verified knowledge, not around projects or tasks.
Tettra
An AI-powered internal knowledge base focused on cutting repetitive questions. Its AI bot, Kai, answers questions in Tettra or Slack from your documentation and points people to the colleague most likely to know when it can't. Experts can verify key pages periodically and approve suggested edits. You can import Google Docs, Notion pages and files. Good for: growing teams that answer the same questions in Slack all day. Keep in mind: a focused tool; you'll still need something else for projects and tasks.
Slab
A clean, easy wiki with a good editor, real-time collaboration, topics for organization and Unified Search across connected tools such as Google Drive. Slab's pricing page lists AI Ask on its Business plan and an advanced version on Enterprise. Good for: teams that want a simple, pleasant wiki people actually write in. Keep in mind: AI features are less extensive than in the larger platforms; check the current plan details.
Orakis
A workspace where goals, tasks, team chat, documents and a knowledge base live together. The Knowledge area holds processes, decisions, customers and people as linked pages, with a graph of how they connect. Alfred, the built-in AI agent, reads every page and answers questions from it, and also knows goals and tasks, so it can answer "who is working on this?" as well as "what is our process?" Claude, ChatGPT and other assistants can connect through MCP. Good for: small and mid-sized teams that want knowledge and work in one system, with an AI that coordinates as well as answers. Keep in mind: Orakis is young and in closed beta. Its integration list is short (Google Calendar, Gmail, Microsoft Outlook and MCP-capable assistants), and it is not a dedicated verification tool like Guru.
Comparison
| Tool | AI answers with sources | Answers in Slack / other tools | Searches other apps | Content verification | Knows projects and tasks |
|---|---|---|---|---|---|
| Notion | Yes | Yes (custom agents) | Yes | Not a focus | Yes, if you build databases |
| Confluence + Rovo | Yes | Yes | Yes | Not a focus | Yes, with Jira |
| Guru | Yes | Yes | Through integrations | Yes, core feature | No |
| Tettra | Yes | Yes (Slack) | Imports | Yes | No |
| Slab | AI Ask (Business+) | Through integrations | Yes (Unified Search) | Check current plan | No |
| Orakis | Yes | Through MCP | No (limited integrations) | No | Yes, built in |
Which one should you pick?
- You want one flexible tool for docs and wiki: Notion.
- You already use Jira: Confluence with Rovo.
- Accuracy and verification matter most: Guru.
- You want to stop answering the same questions in Slack: Tettra.
- You want a simple wiki people enjoy writing in: Slab.
- You want knowledge and work in one place, with an AI that coordinates: Orakis.
Whichever you choose, the content matters more than the tool. Start with the ten questions your team asks most often, write short answers and link them to the work. How to Get Knowledge Out of Employees' Heads shows how.
How Orakis does it
Orakis treats the knowledge base as part of the work, not a separate library. Pages for processes, decisions, customers and people are linked to each other, and goals, tasks and team chat sit in the same workspace. Alfred answers questions from that knowledge and can create or update work, and leads decide how much it may approve on its own. Through MCP, the same knowledge is available in Claude, ChatGPT and other assistants. As a young product in closed beta, Orakis has fewer integrations and admin features than the established tools above.
FAQ
Do I need a separate knowledge base if I use Notion or Confluence? Usually not. Both work as a knowledge base. Separate tools like Guru or Tettra make sense when verified answers or Slack-first Q&A matter more than flexibility.
Can ChatGPT or Claude replace a knowledge base? No. They need somewhere to read your knowledge from. You can connect them to your knowledge base through connectors or MCP; see How to Give ChatGPT or Claude Access to Company Knowledge.
How do I keep the AI from giving outdated answers? Give important pages an owner, use verification where your tool offers it, and delete outdated pages instead of keeping them "just in case."