Retrieval-Augmented Generation (RAG) systems like Kapa rely on your documentation to provide accurate, helpful information. When documentation serves both humans and machines well, it creates a self-reinforcing loop of content quality: clear documentation improves AI answers, and those answers help surface gaps that further improve the docs.

This guide provides best practices for creating documentation that works effectively for both human readers and AI/LLM consumption in RAG systems. Many best practices benefit both simultaneously, often in complementary ways.