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Skills2026-03-19 · source-backed

Voyage-3-large Matryoshka Quantization — 8x Storage Reduction, <0.3% Quality Loss.

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The #1 MTEB embedding model supports float8 + PCA combinations achieving 8x compression. A 1TB vector index becomes ~125GB. Binary quantization available for extreme compression. 12.6M tokens/hour at $0.22/1M tokens on ml.g6.xlarge. Voyage AI Blog

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