Learn to say popular approximate nearest neighbor and vector indexing library names correctly.
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How is FAISS (Facebook AI Similarity Search, library for efficient similarity search over dense vectors) correctly pronounced?
FAISS is pronounced 'FAYSS' — one syllable, rhymes with 'face'. In a technical interview: "FAISS indexed ten million embeddings and still returned nearest neighbors in milliseconds."
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How is ScaNN (Google's Scalable Nearest Neighbors library for fast vector similarity search) correctly pronounced?
ScaNN is pronounced 'SKAN' — one syllable, rhymes with 'can', short for Scalable Nearest Neighbors. In a technical interview: "ScaNN traded a tiny bit of recall for a large jump in query throughput."
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How is Annoy (Spotify's Approximate Nearest Neighbors Oh Yeah library for vector search) correctly pronounced?
Annoy is pronounced 'AN-oy' — exactly like the everyday word for irritating someone, stress on AN. In a technical interview: "Annoy memory-mapped the index file, so multiple processes could share it without duplicating memory."
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How is HNSWlib (header-only library implementing the Hierarchical Navigable Small World nearest-neighbor algorithm) correctly pronounced?
HNSWlib is pronounced 'AYCH-EN-ES-DUB-uhl-yoo-lib' — 'H-N-S-W' spoken as letters plus 'lib', short for library. In a technical interview: "HNSWlib built the graph index in minutes and answered queries in sub-millisecond time."
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How is USearch (lightweight, fast vector search library with bindings across many languages) correctly pronounced?
USearch is pronounced 'YOO-surch' — 'U' spoken as the letter, plus 'search'. In a technical interview: "USearch let us call the same vector index from Python, Rust, and JavaScript without rewriting anything."