Kapa.ai vs Inkeep vs BeforeQuery
The three most-evaluated AI knowledge assistants for docs and support share a lot on paper — cited RAG answers, docs-platform integrations, helpdesk connectors. The differences show up in retrieval architecture, surface coverage (bots, MCP, extensions), and how each is priced. This matrix is drawn from each vendor's public site.
At a glance
Kapa and Inkeep information is drawn from their public sites and pricing pages. If you spot something outdated, contact us and we'll correct it.
How to think about the choice
Kapa is the market leader in enterprise credibility — the "99% accuracy audited by Logitech" story, SOC 2 Type II, deep customer roster (Reddit, Netlify, Monday.com, Nordic Semi). If you're an enterprise buyer with a 6-8 week sales cycle and a procurement process, Kapa is the safe pick. Their pricing model reflects that — sales-led, no self-serve. Inkeep is the developer-docs sweetheart — good taste on developer UX, tight integrations with Mintlify and Docusaurus, active in the DevRel community. If your docs live on Mintlify and your buyer is DevRel, Inkeep punches above its weight. Also sales-led. BeforeQuery is the packaged product for teams who want to ship in an afternoon, not a quarter. Same retrieval quality story (hybrid + reranking + abstention + LLM-as-judge evals), broader surface coverage (bots on Slack + Discord + Teams, browser extension, MCP, form deflector, Support Ticket AI in every major helpdesk), a real free tier, and a $99 Pro plan with no seat metering. The trade-off is enterprise credibility: we're newer, our logo wall is younger, and our customer stories are smaller. If that's a blocker for you, evaluate Kapa. If time-to-value and self-serve are the constraints, evaluate us.
Where each one is strongest
Kapa.ai — Enterprise deals where the buyer is a VP of Engineering or Head of Support at a public company or well-funded startup. Semiconductors, dev tools, hardware — Kapa has real proof there. Inkeep — Mintlify or Docusaurus shops where DevRel is the buyer, and the widget UX being polished matters as much as the retrieval numbers. BeforeQuery — Any team that wants to try it on their own docs before talking to anyone; teams that need more than a widget (bots, MCP, browser extension, in-helpdesk copilot) on one plan; teams whose knowledge lives across 5+ sources; agencies who want a multi-tenant deploy.
Frequently asked questions
Can I try Kapa or Inkeep before talking to sales?
Both are sales-led — you fill in a demo request form and wait for a call. BeforeQuery has a free tier (100 questions/month, no credit card) so you can index your docs and see cited answers in the widget without any sales conversation.
Is retrieval quality really different?
All three ship with vector retrieval, citations, and abstention as table stakes. BeforeQuery layers full-text (BM25) and reciprocal rank fusion on top of vectors, rewrites the query with an LLM before search, and reranks with a cross-encoder. The measurable difference tends to show up on exact-match queries (error codes, SKUs, API names) and on niche vocabulary — a difference our public evals leaderboard will publish over time.
What if I need enterprise credibility?
Kapa has the deepest enterprise proof today. BeforeQuery ships SOC 2-friendly controls (workspace isolation, PII masking, zero-retention mode, SSO/SAML on Enterprise) but the certifications and Fortune-500 logos take time. If your security review requires named-brand references, evaluate Kapa alongside us and pick on the criteria that matter to your buying committee.
Which is best for internal knowledge (Notion + Confluence + policies)?
BeforeQuery — the source coverage (18 connectors including SharePoint, Confluence, Notion, Google Drive, Slack, and file uploads) plus the Teams / Slack bot combination is designed for this use case. Kapa and Inkeep are stronger on customer-facing docs and lighter on internal-knowledge sources.
Can I migrate from Kapa or Inkeep?
Yes. Reconnect the same sources (docs URLs, GitHub, Notion, Confluence) and swap the widget embed. Most teams are running in under an hour. See our dedicated /alternatives/kapa and /alternatives/inkeep pages for feature-by-feature comparisons.
See it on your own docs
Connect a source and get your first cited AI answer in under 5 minutes. Free plan, no credit card required.