RAGdb: A Zero-Dependency, Embeddable Architecture for Multimodal Retrieval-Augmented Generation on the Edge

RAGdb is introduced as a simplified, embeddable architecture for multimodal retrieval-augmented generation that consolidates data ingestion and vector retrieval into a single SQLite container, reducing dependency on cloud infrastructure and GPUs. This advancement significantly enhances efficiency and privacy in edge computing environments, making it easier for content creators to deploy AI applications locally with minimal resource requirements.

Read the full article at arXiv cs.AI (Artificial Intelligence)

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