Last updated May 2026
Guru makes sure the answer you find is the right one. Someone owns it, someone verified it, and it shows up in Slack, Zendesk, or your browser right when you need it. For customer-facing teams who need trusted, current answers, that verification model is the right trade-off.
Fabric makes sure you can find and use everything you've saved. The AI organises your content automatically, searches by meaning across every file type, and connects ideas without a human verification layer. For knowledge workers who create more than they retrieve, Fabric captures more and connects faster.
Guru's strength is accuracy through curation. Fabric's strength is intelligence through automation. Different problems.
Comparison table
Fabric | Guru | |
|---|---|---|
Pricing | Generous free plan. $5/mo Plus tier | Self-serve $25/seat/mo (10-seat minimum = $250/mo floor). Enterprise custom |
Core model | AI-powered knowledge workspace. Save anything, AI organises and connects | Verified knowledge base. Cards owned by experts, verified on a schedule, surfaced in workflow |
AI | Built-in AI assistant across multiple models. Contextual to your entire library. Answers questions, summarises, transcribes, maps relationships | Agentic Search: retrieves, reasons, and responds. AI suggestions in workflow. Knowledge Agents on Enterprise |
Verification | None. AI understands content automatically. No human verification layer | Core feature. Cards assigned to expert owners. Automated verification reminders on a schedule. Stale cards flagged |
Content types | PDFs, images, video, audio, docs, links, ePubs, slides, spreadsheets, emails | Knowledge cards (text, images, attachments). Primarily text-focused |
Search | Semantic, visual, colour, inside-document, inside-video, cross-platform | AI-powered semantic search across cards. Browser extension surfaces cards in context. Searches text, not inside PDFs/video/audio |
Content understanding | Automatic extraction, enrichment, and relationship mapping across everything you save | Cards are manually created and categorised. AI suggests relevant cards in context |
In-workflow delivery | Chrome extension for saving and searching | Browser extension, Slack, Microsoft Teams, Zendesk, Salesforce. Cards appear where you work. Core strength |
Notes & documents | Full markdown editor, real-time co-editing, version history | Card editor. Focused on bite-sized knowledge, not long documents |
Collaboration | Real-time co-editing, annotations on any media, comments, chat, shared drives | Card ownership, collaborative editing, expert verification, team collections |
Publishing | One-click with analytics (who viewed, when, time spent), password protection, stakeholder links | Internal knowledge sharing. No external publishing with analytics |
Canvas | Spatial canvas with live embeds, AI-aware, real-time multiplayer | None |
Tasks | Tasks with priority, due dates, reminders, linked to files | None beyond verification reminders |
Meeting notes | Bot-free real-time transcription, AI summaries, smart meeting notes | None |
Integrations | Slack, Microsoft Teams, Zendesk, Salesforce, Chrome, ServiceNow. Deep workflow integrations | |
Platforms | Web, iOS, Android, desktop, Chrome extension | Web, browser extension, Slack/Teams apps |
What is Guru?
Guru is a knowledge management platform built for customer-facing teams. Knowledge lives in "cards," bite-sized units covering policies, procedures, FAQs, and best practices. Each card has an expert owner. Automated verification reminders prompt owners to review and confirm their cards on a schedule. Stale cards are flagged. The browser extension and Slack/Teams integrations surface relevant cards in the flow of work: a support agent in Zendesk sees the relevant troubleshooting card without leaving the ticket.
Self-serve plan at $25/seat/month with a 10-seat minimum ($250/month floor, even if your team is smaller). Enterprise pricing is custom. 30-day free trial. Guru is adopted by support, sales, HR, and IT teams that need a single source of truth with verified accuracy. The card-based format keeps knowledge modular and actionable. The verification model keeps it current.
What is Fabric?
Fabric is an AI workspace that combines file storage, note-taking, search, tasks, collaboration, and publishing. The Fabric Memory Engine automatically extracts, enriches, and maps relationships between everything you save. Where Guru requires someone to create, verify, and maintain each card, Fabric understands content automatically the moment you save it. No verification workflow. No card ownership. No scheduled review cycles. The AI is the librarian. See also how Fabric compares to Glean and Confluence, two other approaches to team knowledge.
Key differences
Verification vs automation
Guru's verification model is its defining feature. Every card has an owner. Owners receive reminders to verify their content on a schedule you set. When a card goes stale, it's flagged. When an answer is verified, the team can trust it. For support agents handling customer escalations, that trust matters. A wrong answer costs a customer.
This model also creates a bottleneck. Knowledge only enters the system if someone writes the card. Knowledge only stays current if someone verifies it. In practice, subject matter experts get buried in verification reminders. Cards that nobody owns go unverified. The system's accuracy depends on people doing the work of maintaining it.
Fabric has no verification layer. You save content. The AI extracts, enriches, and indexes it automatically. No one needs to write a card, assign an owner, or schedule a review. More content gets captured because there's no gate. The trade-off is that Fabric doesn't guarantee someone has verified the accuracy. The AI understands your content. It doesn't vouch for it.
Search depth
Guru's search is AI-powered and context-aware. It surfaces relevant cards when you're in Slack, Teams, or a browser. Agentic Search retrieves, reasons, and responds rather than just matching keywords. For finding verified text answers, it's effective.
Fabric's search goes further across more formats:
Semantic search finds content by meaning, not just keywords.
Inside PDFs, jumping to the exact page and paragraph.
Inside audio and video via automatic transcription, jumping to the timestamp.
Visual search finds similar images across your library.
Colour search finds assets by palette.
Cross-platform search pulls from Google Drive, Notion, and Dropbox alongside your Fabric library.
Guru searches cards. Fabric searches everything, in every format, by meaning.
In-workflow delivery
This is Guru's core strength. The browser extension surfaces relevant cards while you work. In Zendesk, the right troubleshooting card appears alongside the ticket. In Slack, type a question and Guru suggests the answer from your knowledge base. In Salesforce, account context pulls relevant cards automatically. Knowledge comes to you instead of you going to look for it.
Fabric's Chrome extension saves and searches content from the browser. Fabric's AI answers questions about your library. But Fabric doesn't have the deep, native integrations with Zendesk, ServiceNow, and Salesforce that push knowledge into customer-facing workflows. If your primary need is verified answers appearing inside support and CRM tools, Guru is purpose-built for that.
Content scope
Guru handles knowledge cards. Text with embedded images, links, and attachments. The format is deliberately bite-sized: focused answers, not long documents. This works for FAQs, procedures, and policy references. It doesn't work for research, design files, meeting recordings, slide decks, or the kind of diverse, long-form content that makes up a knowledge worker's library.
Fabric handles everything: PDFs, images, video, audio, documents, slides, spreadsheets, ePubs, links, emails. All automatically extracted, enriched, and searchable. If your knowledge lives in more than text cards, Fabric covers it.
Creation vs retrieval
Guru is a retrieval system. Knowledge is created in cards, verified, and retrieved when needed. There are no spatial canvases, no document editors beyond card creation, no meeting transcription, no tasks, no publishing with analytics. Guru surfaces answers. It doesn't help you build new understanding.
Fabric is a creation and retrieval system. Notes and docs with real-time co-editing. A spatial canvas with live embeds for visual thinking. Annotations on any content type. Meeting transcription with AI summaries. Tasks with due dates and reminders. Publishing with analytics. Fabric is where knowledge is built and found.
Pricing
Guru: $25/seat/month with a 10-seat minimum. A 6-person team pays for 10 seats ($250/month). A 50-person team pays $1,250/month. Enterprise is custom.
Fabric: generous free plan. $5/month Plus tier. No per-seat pricing. No minimum seats. No sales process.
When to use each
Use Fabric if you're a knowledge worker, researcher, designer, or small team that creates more than it retrieves. You work with diverse content types beyond text. You want search by meaning across PDFs, audio, video, images, and everything else. You want a workspace for building knowledge, not just storing it. You want AI that organises automatically without verification bottlenecks. See also: Fabric as a team wiki.
Use Guru if you're a customer-facing team (support, sales, success) that needs verified, accurate answers surfaced inside Zendesk, Salesforce, Slack, or Teams. Accuracy matters more than breadth. Someone on your team will own and maintain each piece of knowledge. You're willing to pay $25/seat/month for the verification model and in-workflow delivery. That's a specific and legitimate use case.
Why people move from Guru to Fabric
Verification became a bottleneck. Subject matter experts drowned in verification reminders. Cards that nobody owned went stale. The system that was supposed to ensure accuracy created overhead that slowed knowledge capture.
They had more than text cards. PDFs, design files, meeting recordings, research, saved articles, slide decks. Guru handles text cards. Fabric handles everything.
They wanted to find things by meaning. Guru's search works on its card library. Fabric's semantic search works across every content type, inside documents, inside recordings, by visual similarity, by colour.
They wanted a workspace, not just a retrieval system. Notes, canvas, annotations, meeting transcription, tasks, publishing. Guru retrieves. Fabric retrieves and creates.
The 10-seat minimum didn't fit. A 4-person team paying for 10 seats is paying for 6 ghost users. Fabric has no minimum seats and no per-seat pricing.
FAQs
Does Fabric have content verification like Guru?
No. Fabric doesn't have a verification workflow with expert owners and scheduled review cycles. The AI understands and organises content automatically. If your use case requires human-verified accuracy for customer-facing answers, Guru's model is purpose-built for that.
Does Guru search inside PDFs and video?
Guru searches across its text-based knowledge cards. It doesn't search inside PDFs by paragraph, inside video by transcript, or across images by visual similarity. Fabric does.
Is Fabric free? Generous free plan. $5/month Plus tier. No per-seat pricing. Guru starts at $250/month (10-seat minimum at $25/seat).
Can Fabric surface knowledge in Zendesk or Salesforce?
Not natively. Fabric's integrations focus on content sources (Google Drive, Notion, Dropbox, Gmail) and workflow tools (Zapier, MCP). Guru's native integrations with Zendesk, Salesforce, ServiceNow, and Slack are a specific strength for customer-facing teams.
Which is better for support teams?
Guru. The verification model, in-workflow delivery via Zendesk/Salesforce/Slack, and card-based format are designed specifically for support teams who need trusted answers fast. Fabric is a broader knowledge workspace, not a customer-facing answer engine.
How does this compare to Fabric vs Confluence or Fabric vs Glean?
Confluence is a wiki you maintain. Guru is a knowledge base that experts verify. Glean is enterprise search across your company's tools. Fabric is a knowledge workspace where AI does the organising. Each solves a different slice of the knowledge management problem.
Compare similar apps and tools:
Evaluating other options? See more comparisons:







