AIBullisharXiv – CS AI · Feb 277/108
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RAGdb: A Zero-Dependency, Embeddable Architecture for Multimodal Retrieval-Augmented Generation on the Edge
Researchers introduce RAGdb, a revolutionary architecture that consolidates Retrieval-Augmented Generation into a single SQLite container, eliminating the need for cloud infrastructure and GPUs. The system achieves 100% entity retrieval accuracy while reducing disk footprint by 99.5% compared to traditional Docker-based RAG stacks, enabling truly portable AI applications for edge computing and privacy-sensitive environments.