Vector search is at the core of the AI revolution. It provides applications with access to semantically relevant unstructured data. Scalable Vector Search (SVS) is a performance library for billion-scale similarity search that offers high-performance computing optimizations, along with vector compression and dimensionality reduction techniques.
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