PRAG delivers end-to-end private RAG with 72-74% recall via non-interactive homomorphic approximations, interactive client assistance, and operation-error estimation to preserve ranking quality.
The K-means assignment step alone executes 4–5 orders of magnitude more inner products than a single query
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PRAG: End-to-End Privacy-Preserving Retrieval-Augmented Generation
PRAG delivers end-to-end private RAG with 72-74% recall via non-interactive homomorphic approximations, interactive client assistance, and operation-error estimation to preserve ranking quality.