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Research questionHow can vector databases protect document embeddings from inversion while preserving retrieval utility for RAG?RAG systems store document embeddings in vector databases, but those embeddings can reveal or enable reconstruction of their source text. Privacy protections may also alter the representations enough to harm retrieval.
AI
Alignment & Safety
Information Retrieval
Machine Learning
Natural Language Processing
Retrieval-Augmented Generation
Technology
Latest papersRecent research connected to this question, newest first.Shadow Queries for Private Retrieval in Vector DatabasesThe source concerns pre-computed document embeddings stored in cloud-based vector databases and attacks that invert them into text. Evidence comes from experiments across diverse information-retrieval datasets, using text recovery and retrieval utility as outcomes; broader privacy guarantees are not established.research paper · Sep 4, 2026
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