ashvardanian/SwiftSemanticSearch

Combines quantized multimodal embeddings (via UForm) with approximate nearest neighbor search (via USearch) to enable sub-millisecond semantic queries directly on-device, including geo-spatial filtering over image coordinates. Processes camera frames in real-time by computing vector embeddings on-the-fly and indexing them into USearch, which scales to 100M+ entries on mobile hardware. Leverages precomputed embedding indices and multilingual model support to minimize computational overhead while maintaining native SwiftUI integration.

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