Summary
The user highlights a design roadblock in integrating efficient Approximate Nearest Neighbor (ANN) search with Partially Homomorphic Encryption (PHE) for vector databases. While ANN allows for fast, scalable similarity searches, applying PHE to embeddings makes ANN inefficient or impossible, necessitating slower linear scans. This conflict poses a significant challenge for practical privacy-preserving vector search at scale.
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