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Update qdrant-landing/content/blog/what-is-a-vector-database.md

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Co-authored-by: Mike Jang <michael@linuxexam.com>
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Sabrina Aquino
2024-01-25 12:36:52 -03:00
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@@ -112,7 +112,7 @@ Quantization is a technique used for reducing the total size of the database. It
[Binary Quantization](https://qdrant.tech/articles/binary-quantization/) is a fast indexing and data compression method available in Qdrant that allows for rapid vector comparison, which can speed up query processing times dramatically (up to 40x faster!).
Think of each data point as a ruler. Binary quantization splits this ruler in half at a certain point, marking everything above as "1" and everything below as "0". This binarization process results in a string of bits, representing the original vector.
Think of each data point as a ruler. Binary quantization splits this ruler in half at a certain point, marking everything above as "1" and everything below as "0". This [binarization](https://deepai.org/machine-learning-glossary-and-terms/binarization) process results in a string of bits, representing the original vector.