The tool that made our AI agent better at using its tools
Kapa has developed an AI agent that assists users in navigating technical documentation. The agent has become the most-used integration, primarily due to its knowledge base search feature. This tool not only answers questions but also helps the agent decide on the next steps in user interactions.
- ▪Kapa's AI agent allows users to ask questions in natural language about their data.
- ▪39.1% of conversations utilized the knowledge base search tool at least once.
- ▪The knowledge base search often acts as a failover for questions that native tools cannot address.
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I am Finn, co-founder of Kapa - we make customer-facing AI assistants on top of technical documentation. Once teams go live with AI chat on their docs their users quickly start asking lots of questions and it can become quite unmanageable to keep track of these. In the past, we’ve built a lot of analytics tooling (like clustering, custom tagging) to try to help our customers make sense of this data. But ultimately none of these are flexible enough to cover all use-cases. So we built an agent into our app. Customers could ask questions about their data in natural language instead of clicking through filters.We expected it to be useful, but secondary. Instead it became our most-used AI integration.Questions per week across our customer-facing AI deploymentsThat usage made us curious.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Kapa.
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