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Vector Quantization Techniques Learn how to reduce memory usage with scalar quantization, binary quantization, and other compression methods. 2

{{< date >}} Module 3 {{< /date >}}

Vector Quantization Techniques

Vector quantization compresses vectors by reducing the precision of each component. Qdrant supports several quantization methods that can reduce memory usage by 4-32x with minimal quality loss.

Choosing the right quantization method depends on your quality requirements and memory constraints.



Next, we'll explore pooling techniques that reduce the number of vectors per document.