How to read this post
As of 30 October 2026. Every Kapa.ai fact below was read on Kapa.ai’s own pages on that date and links to the page it came from. Both products change often, so check the page before you decide. We are MITHUNAI, so we are not a neutral party; the full comparison sets everything out in a table, including where Kapa.ai is stronger.
What Kapa.ai does well
It is worth starting with the strengths, because for many teams they decide the question.
- More connectors. Its docs list 24 knowledge sources, and its home page mentions “30+ other sources” (sources, home). If your knowledge sits in cloud drives or chat history, check this first.
- More places to ask. It lists ready-made bots and apps for team chat, support desks and a website widget (integrations).
- A security certification. It states a third-party certification on its security page. MITHUNAI holds none today.
- Enterprise identity features. Its pricing page lists single sign-on, directory provisioning and role-based access on Enterprise (pricing).
- A self-serve trial. Its pricing page offers a 14-day trial with no credit card (pricing).
- Track record. Kapa.ai says more than 200 companies use it (home).
Eight things to compare, whichever tools you shortlist
Do not compare feature lists. Compare how each assistant behaves on your own content, along these lines.
- Sources. Which of your sources can it read, and does it keep them fresh? A great answer from stale pages is still wrong.
- Citations. Does every answer show the passages it used, and does the link land on the right place?
- Declining. What does it do when your content has no answer? Kapa.ai labels such an answer “Uncertain” and MITHUNAI RAG declines. Either is better than a confident guess, but they need different handling in your support flow.
- Where answers appear. Your docs site, your product, your editor, your team chat. Count only the places you will use.
- Hosting. Where is your data processed, and can you run the platform in your own account if policy requires it?
- Pricing model. A flat monthly price is easy to forecast; usage-based pricing is cheaper at low volume and harder to budget. Ask for a quote at your expected volume.
- Security and identity. Certifications, single sign-on, role-based access and what is retained. Ask for the questionnaire answers in writing.
- Analytics. Can you see which questions went unanswered? Those are your documentation gaps.
Where MITHUNAI RAG differs
MITHUNAI RAG does the same core job: it connects your sources, answers with citations, and declines when your content does not support an answer. Four things are different today.
- Published prices. Three plans from $99 to $599 a month with AI included, on the pricing page. Kapa.ai’s growth plan is usage-based and its Enterprise plan is custom.
- EU hosting, and self-hosting on one plan. The platform runs on a server in Germany. On the Sovereign Custom plan, billed annually and arranged with us, it deploys in your own cloud account or data centre. The Kapa.ai pages we read offered US or EU hosting and did not offer self-hosting.
- White-label per customer. Each customer organisation sets its own name, logo, colours and widget with no code change, which helps if you serve answers to your own customers.
- The API says why it declined. Your software learns whether your content did not support an answer or the service was unavailable, so it can route the question to a person.
MCP, and what MITHUNAI does not do yet
Both offer a way for coding assistants to search your docs over MCP. Kapa.ai’s is a hosted server (docs); MITHUNAI’s is a read-only server, in beta, with three tools: search knowledge, ask an assistant and list knowledge.
On the other side of the ledger, MITHUNAI has fewer connectors, a team-chat integration still in beta rather than a full set of chat apps, no single sign-on or directory provisioning yet, no uptime commitment, and no self-serve trial. If any of those is a hard requirement, the comparison is short.
How to decide
Pick thirty real questions: ten your customers ask every week, ten that need two pages combined, and ten your docs do not answer. Put the same thirty to each shortlisted tool, connected to the same content. Score three things: was the answer right, did the citation prove it, and did it decline the ten it should have declined.
That test takes an afternoon and beats any comparison page, ours included. If you would like us to run it on your content, book a demo. If you want to try before you talk to anyone, the public playground answers from our own documentation with no account.
More alternatives and how we compare them are on the alternatives page. Kapa and Kapa.ai are names of their owner; MITHUNAI is not affiliated with, endorsed by or sponsored by Kapa.ai.