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F3miii earns his first career entry on the #Hot100# this week, as "Noble" debuts at No. 97! 📈
new: i8 vectors
f32: 4 bytes/dim
i8: 1 byte/dim
4x fewer bytes → 75% lower storage and query costs + faster queries
when embedded with a quantization-aware model (e.g. voyage-4-large) trained on i8 vectors, recall loss can be ~0!
docs:
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