Abstract
This article explores the design and deployment of a secure, retrieval-augmented generation (RAG)- powered chatbot tailored for family use using Spring AI. By combining Spring AI’s modular orchestration capabilities with a local vector store and embedding models, the chatbot delivers grounded, context-aware responses to everyday queries — ranging from locating personal documents to offering tech guidance. Emphasizing privacy and ease of use, the system ensures that sensitive data remains within the trusted home environment while providing intuitive, voice-enabled assistance.
To guarantee full control and data security, the chatbot is built and hosted entirely on personal infrastructure, with models and vector databases running on Linux-based home PCs. Spring AI was chosen for its cross-platform compatibility and seamless integration with JVM-based tooling, making it ideal for reproducible, secure deployments across diverse environments. This project demonstrates how modern AI frameworks can be repurposed to simplify life for non-technical users, offering a blueprint for personalized, secure, and reproducible AI solutions in domestic settings.
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