How to Build a Chatbot That Answers Questions from Your Codebase with Kapa

Support teams for developer tools spend hours answering the same technical questions. Kapa AI solves this by building a chatbot trained on your codebase and documentation. Here is how to build a chatbot that answers questions from your codebase with Kapa.

Connect your sources. In the Kapa AI dashboard, connect your GitHub repositories, documentation, and knowledge base. The platform automatically ingests these sources to understand your product deeply.

Let Kapa build the model. Kapa AI creates a fine-tuned model grounded in your specific content. This means answers reflect your actual code and docs, not generic responses.

Deploy the chatbot. Publish your bot to your website, Slack, Discord, or a custom API endpoint. Kapa AI meets users where they already ask questions.

Verify answers have citations. Every response includes links to the source docs or code, so users can confirm details. This grounds Kapa AI answers and builds trust.

Support multiple languages. Let users ask questions in their preferred language. Kapa AI handles multilingual queries, which is essential for global developer communities.

Monitor and refine. Use analytics to see what users ask and improve your documentation over time. With Kapa AI, you reduce repetitive support tickets and give users instant, accurate self-serve help.