TRUSTED BY 200+ INDUSTRY-LEADING ENTERPRISES WITH COMPLEX PRODUCTS
WHY IT MaTters
Knowledge search is your agent's most-used tool
Across production agents, one tool gets called as often as all the others combined: knowledge search. Get it right and every other tool gets sharper.
BENCHMARK
Kapa finds the right source 2x more often than alternatives
Both common approaches fall short: web search can't reach knowledge beyond your website and returns stale, mixed-in results, while do-it-yourself RAG performs poorly at scale and leaves you maintaining everything, from connectors to analytics and evals.
Methodology: Recall@5 across 4 real customer projects spanning developer tools, semiconductors, and software platforms. 30 human-annotated questions per project, drawn from real production traffic. Questions are complex and span multiple sources, the cases agents actually hit. All knowledge sources are public; web search uses site limiters to keep the comparison fair. Exa, Tavily, and Brave represent leading web-search APIs; Azure AI Foundry and Firecrawl + Pinecone represent DIY RAG pipelines.
CUSTOMER SPOTLIGHT
Leading teams power their agents with product knowledge from Kapa
Matan Grady, Product Director
THE PLATFORM
The context layer for your agents,
ready out of the box
02 - deploy
Deploy as an MCP server or API in minutes
Point your agent at a hosted MCP endpoint, or call the retrieval API directly. Nothing to host, no pipeline to maintain, live in minutes.
MCP Server
Retrieval API
curl https://api.kapa.ai/retrieval \
-H "Authorization: Bearer $KAPA_KEY"
03 - RETRIEVE
Answer more accurately, spend fewer tokens
Within 2 seconds, Kapa returns a handful of ranked, cited chunks, not a wall of maybe-relevant text.
Answer accuracy
04 - ANALYZE
See what your agent can't answer, and close the gaps
The questions your agent couldn't answer become a ranked backlog of docs to write. Close the gaps, watch the miss rate fall.
ENTERPRISE-GRADE
SOC 2 Type II
Independently audited and
compliant with SOC 2 Type II.
SOC 2
GDPR Compliant
Compliant with EU data
privacy regulations.
GDPR
SSO & RBAC
Single sign-on and
role-based access control.
Zero Data Retention & PII Masking
Detect and mask sensitive data
before processing.
Try Kapa with your technical content
Test and evaluate Kapa for free
Go live in less than 7 days
SOC 2 Type II & GDPR compliant
What exactly is a Kapa AI agent, and who is it for?
A Kapa AI agent is an AI assistant that answers technical product questions by retrieving from your own knowledge sources rather than relying on a model's general training. It is built for technical and enterprise companies with complex products, and is used by over 200 of them to support developers, customers, and internal teams. The same underlying engine can power a documentation assistant, a support deflector, an in-product copilot, or knowledge retrieval for your own custom agents. Because answers are grounded in your live content, the agent stays accurate to how your product actually works today. This makes it suited to teams who need trustworthy answers at scale, not a generic chatbot bolted onto a website.
Which channels can I deploy a Kapa agent to?
A single Kapa agent can be deployed across many surfaces from one configuration. These include a website widget, Slack and Discord bots, support-form deflection, in-product help, and helpdesk integrations such as Zendesk. For teams building their own agents, Kapa also exposes a hosted MCP server and a retrieval API, so your custom agent can call Kapa as its knowledge search tool. The MCP server works with AI tools like Claude Code and Cursor as well as agent frameworks such as LangGraph. This lets you meet developers and support staff wherever they already work, instead of forcing them to a single destination.
How does one knowledge base power agents across all these channels?
You connect your knowledge sources once, and that single index serves every agent and channel you deploy. Kapa supports 50+ connectors spanning documentation, websites, GitHub code, API specs, tickets, Slack, Notion, Confluence, and more, and it keeps the index live as those sources change. You can organize sources into source groups to target specific products or versions for different assistants. This means a fix to your documentation or a new GitHub issue propagates everywhere your agents run, with no per-channel maintenance. The result is consistent answers across the widget, bots, in-product help, and any custom agents calling the API.
How does Kapa keep answers accurate and prevent hallucinations?
Kapa is built around retrieval-augmented generation, so answers are grounded in chunks pulled from your actual sources rather than generated from a model's memory. For a given query, it returns a handful of ranked, cited snippets, and responses include citations back to the source so users and reviewers can verify them. When the knowledge base does not contain an answer, the agent is designed to say so rather than fabricate one. Kapa also surfaces the questions it could not answer as a ranked backlog, helping you close documentation gaps over time. Built-in analytics let you monitor quality and improve answers continuously rather than guessing.
How does Kapa handle security and data privacy for enterprise buyers?
Kapa is SOC 2 Type II certified and GDPR compliant, and it supports SSO and role-based access control for enterprise deployments. It provides PII detection and masking, running the PII filter before any data is persistently stored so sensitive information is neither retained in Kapa's systems nor included in agent responses. Kapa signs opt-out agreements and Data Processing Agreements with its LLM vendors, ensuring your data is never used to train their models. You can also configure data persistence durations to align with your retention requirements. A public trust center is available for reviewing certifications and security details during procurement.