Kapa.ai
RAG answer engine that turns technical docs into a cited AI assistant for developer questions.
About
Kapa.ai is a RAG-based answer engine built for developer-tools companies: it indexes 30+ technical content source types — docs, GitHub, OpenAPI specs, Confluence, Zendesk, Slack, Discord, Stack Overflow — and answers developer questions with source citations on every reply. It deploys as a docs-site widget (one script tag), in-app chat, Slack/Discord bot, API, or a hosted MCP server, and includes an 'I don't know' fallback to avoid hallucinating answers. Customers include Docker (over 1,000 AI-resolved queries a day), OpenAI, Reddit, monday.com, Mapbox, and CircleCI; the company is SOC 2 Type II certified with SSO, RBAC, and PII redaction.
The honest picture: Kapa is sales-led with no public pricing — third-party data puts median annual contracts around $19,000–$25,000 — and there is only a 14-day trial, no free tier. It is a documentation Q&A layer, not a full helpdesk agent: it deflects questions before they become tickets rather than resolving tickets end-to-end.
What it can do
- RAG answer engine grounded in your documentation
- Docs widget, Slack/Discord bots, API, and hosted MCP server
- 30+ source types (GitHub, OpenAPI, Confluence, Zendesk)
- Source citations on every answer
- 'I don't know' fallback against hallucinations
- SOC 2 Type II, SSO/RBAC, PII redaction, GDPR
Setup
Contact sales for a demo; Kapa prepares a branded demo trained on your docs on day one, with production go-live in about a week.
Prerequisites
Technical documentation worth indexing; a docs site, community, or product surface where the assistant will live.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 50; Trending score 68/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.