What is Kapa?
Kapa is knowledgebase software that turns your existing technical content into an AI assistant. It ingests docs, wikis, support tickets, code repositories, and other sources to build a searchable, conversational knowledge base. Teams with complex technical products use it to answer user questions accurately without human intervention. The AI only responds when your source content supports the answer. It won’t fabricate information it can’t verify. You can deploy the same knowledgebase software across your documentation site, support inbox, internal tools, and product interface. A chat widget, Slack bot, MCP server, SDK, and API give you multiple ways to put it in front of users.
Features & Benefits
- Connect sources: Pull in content from 20+ connectors covering docs sites, GitHub, Slack, Discord, Zendesk, Confluence, Notion, and other wikis and ticket systems.
- Build AI assistant: Generate a conversational AI assistant directly from your connected knowledge sources.
- Deploy chat widget: Embed an AI chat interface into your documentation site, product, or website using a single code snippet.
- Deploy Slack bot: Surface knowledgebase answers inside Slack without leaving the workspace.
- Deploy ticket deflection: Route incoming support questions to the AI assistant before they reach your team.
- Deploy internal assistant: Give internal teams direct access to company knowledge through a dedicated assistant interface.
- Answer with citations: Return responses with source references so users can verify and trace every answer.
- Decline uncertain questions: Respond with “I don’t know” when source content doesn’t support an answer, rather than guessing.
- Flag content gaps: Identify and surface questions the assistant couldn’t answer so you can fill documentation gaps.
- MCP server: Connect the knowledgebase software to AI coding environments like Cursor and VS Code so developers can query your docs without leaving their editor.
- SDK and API access: Integrate the assistant into custom workflows and agentic pipelines programmatically.
- Analytics dashboard: Track top questions, answer accuracy, content gap frequency, and source citation rates across deployments.
- Auto-refresh sources: Sync connected knowledge sources automatically on a recurring basis to keep answers current.
- PII redaction: Detect and mask personally identifiable information before it enters the processing pipeline.
Real-World Applications
A SaaS company with a large developer user base can use Kapa as knowledgebase software to handle the high volume of repetitive technical questions that come in through support channels. Instead of routing every question to a human agent, the assistant pulls answers directly from existing documentation and ticket history. Teams report significant reductions in support load without expanding headcount.
Documentation teams managing large technical doc sites may find that knowledgebase software gives their readers an instant alternative to manual searching. A developer visiting a docs site can ask a specific integration question and get a precise, sourced answer in seconds. The assistant flags gaps where documentation doesn’t cover a topic, giving writers a clear list of what to write next.
Internal teams at technical companies often lose time tracking down answers that exist somewhere in company wikis, past tickets, or internal guides. Connecting those sources to Kapa’s knowledgebase software gives employees a single place to ask questions. New hires can get up to speed without relying on senior staff for basic process questions.
Product and engineering teams building developer tools can expose the knowledgebase software directly inside their product or through an MCP server. A developer using Cursor or VS Code might query your product documentation without switching context. Companies that would otherwise spend months building a custom RAG pipeline can deploy a production-ready assistant in under a day.
