Retrieval-augmented generation (RAG) enhances AI systems by grounding their responses in external data sources, improving accuracy and practicality, especially when dealing with internal documentation and scattered team knowledge. Ragie Connect is a fully managed connector system that simplifies integrating such data sources into AI applications by handling authentication, data ingestion, and syncing. It allows users to securely connect their own data, integrating tools like Notion, Google Drive, and Slack directly into AI interfaces. By embedding Ragie Connect, applications can efficiently manage document ingestion, chunking, indexing, and retrieval, enabling AI tools to provide responses based on actual documents rather than generalized knowledge, thus reducing errors like hallucination. An open-source demo app, Base Chat, demonstrates this integration by linking Notion as a data source, allowing end-users to authenticate and sync content securely, providing real-time, relevant answers grounded in their documents. This setup is easily adaptable to multiple data sources and offers customization options for branding and access control, making it ideal for building scalable AI-powered business tools.