Usearch: Single-File Similarity Search
USearch is a high-performance similarity search engine optimized for vectors and text, supporting multiple programming languages and platforms, claiming to be up to 10 times faster than FAISS.
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USearch is a high-performance, single-file similarity search engine optimized for vectors and soon for text, designed to outperform existing solutions like FAISS. It supports multiple programming languages, including C++, Python, JavaScript, Java, Rust, and Go, and is compatible with various platforms such as Linux, MacOS, Windows, iOS, and WebAssembly. USearch claims to be up to 10 times faster than FAISS for specific operations and allows for user-defined metrics, enhancing its flexibility for diverse applications. The library is memory efficient, supporting half-precision and quarter-precision data types, and offers multiple serialization options for index management. It employs advanced techniques like SIMD optimization and JIT compilation to boost performance and supports various distance metrics. USearch can be utilized in semantic search, molecular search, and geospatial information systems, and it integrates with platforms like ClickHouse, DuckDB, and Microsoft Semantic Kernel.
- USearch is designed to be faster and smaller than existing solutions like FAISS.
- It supports multiple programming languages and platforms.
- The library allows for user-defined metrics and is memory efficient.
- It employs advanced optimization techniques for improved performance.
- USearch can be applied in various domains, including semantic and molecular search.
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