SMRTR AINov 11, 2024Lobsters

Binary vector embeddings are so cool

SMRTR summary

Binary quantized vector embeddings offer impressive compression and speed benefits for text similarity searches. They can retain over 95% retrieval accuracy while reducing embedding size by 32x and speeding up retrieval by about 25x compared to traditional float32 embeddings.

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