mensonones/expo-vector-search
High-performance on-device vector search engine for Expo & React Native. Powered by C++ JSI and USearch (HNSW) for sub-millisecond similarity matching.
This project helps app developers add intelligent search features to their mobile applications without needing a server. It takes data like product images or text descriptions, converts them into 'vector embeddings,' and then allows for ultra-fast, on-device searching for similar items. App developers can use this to create features such as visual product search, automated customer support message routing, or on-device content moderation.
Use this if you are a mobile app developer looking to build fast, privacy-focused semantic search or machine learning features directly into your Expo or React Native applications.
Not ideal if your application requires traditional exact-match database queries or if you prefer server-side processing for all search functionality.
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53
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Language
C
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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