AnswerVault vs Guru

Guru is a knowledge base. AnswerVault is a knowledge layer.

Guru's core model is curated, verified content stored as cards. Your team authors cards, reviews them, marks them as verified, and queries them. Done well, it produces high-quality internal knowledge.

The work, though, is real. Somebody has to write each card. Somebody has to keep each card in sync with the source document when the policy changes. Somebody has to re-verify cards periodically so the "verified" stamp means something. That work doesn't stop — it's the ongoing cost of the model.

The structural difference

Author once, or author twice

Your SOPs, policies, contracts, and technical documentation already exist. They live in SharePoint, Google Drive, or Confluence. They already have owners, approval workflows, and version control built around them.

Guru asks you to extract that knowledge into cards — a parallel knowledge base that lives alongside the source documents. AnswerVault reads the source documents directly. Your approval workflow stays where it is. Your "source of truth" stays where it is. AnswerVault indexes what's already approved and returns answers with a link back to the original.

Stays current on its own

When a policy document is updated in SharePoint or Confluence, AnswerVault re-indexes it. The next query returns the new version. Nobody has to update a card. Nobody has to re-verify.

If your documentation is living — policies evolving, SOPs updated quarterly, technical specs revised against live product — the maintenance overhead of a card-based system compounds.

Knowledge graph, not just retrieval

AnswerVault builds a knowledge graph across your document estate. When you ask about a policy, it understands which procedures implement it, which teams own it, and which updates supersede earlier versions. Retrieval traverses those relationships, not only text similarity.

Guru's model is card-centric. Relationships are limited to what the card author explicitly tags.

When Guru is still the right answer

If your organisation's knowledge is genuinely card-sized — short, discrete pieces of information that benefit from explicit curation and ownership — Guru's model fits. Announcements, onboarding snippets, product FAQs, internal "what's the current Wi-Fi password" content. That's the shape Guru is built for.

Most enterprise knowledge isn't that shape. It's policies, procedures, technical specifications, and contracts. Long-form, versioned, already approved somewhere else. For that, a knowledge layer over your actual documents makes more sense than a parallel card base.

Common objections

"Verified cards are the whole point."

The "verified" stamp is valuable because it's human-reviewed. AnswerVault's equivalent is governed knowledge bases: you choose exactly which documents go in, and only those are used for answers. Your approval workflow for the source document is the verification. You don't need a second verification layer.

"We already have Guru."

AnswerVault doesn't require replacing it. You can run both — Guru for the card-shaped content it's good for, AnswerVault for everything that lives in SharePoint, Google Drive, or Confluence. As the answer quality comparison becomes clear, most teams consolidate.

"Our Guru content is exactly how our team thinks."

Fair — and AnswerVault isn't trying to replicate that. Keep the cards. AnswerVault's job is to make the long-form documentation queryable in the same natural-language way, without anyone having to rewrite it.