Kapa.ai

Turn unstructured knowledge into real-time context for AI agents

Kapa.ai is an ingestion and retrieval system that turns unstructured technical knowledge into a unified, always-current knowledge base. It solves the problem of AI agents hallucinating or providing outdated answers by grounding them in accurate, sourced context from the organization’s own content. The system ingests from over 20 source types, including documentation sites, PDFs, support tickets, GitHub code and issues, Slack threads, and API specs, and automatically re-indexes when source content changes.

Its core capabilities include agentic retrieval, which searches the knowledge base to find relevant information for an agent, delivered as a search tool via MCP or through a direct API. Prebuilt agents are available for common use cases such as a website widget, Slack bot, Zendesk agent, and support form deflector. The platform also offers an Answer Engine, analytics to identify documentation gaps, and supports versioning to scope answers to specific products or versions. Security features include SOC 2 Type II certification, encryption at rest and in transit, role-based access control, and PII masking.

Kapa.ai is designed for documentation, support, product, and engineering teams at technical companies. It offers a free trial with no credit card required, and the product is packaged with editions that include enterprise-grade controls such as SSO, RBAC, and EU/US data regions.

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