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[
"Quantization - Qdrant",
"Scalar Quantization"
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] | p | In addition to reducing the memory footprint, scalar quantization also speeds up the search process. | [
"documentation",
"documentation/guides",
"documentation/guides/quantization"
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[
"Quantization - Qdrant",
"Scalar Quantization"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(7) | [
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[
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[
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[
"Quantization - Qdrant",
"Scalar Quantization"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(8) | [
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[
"Quantization - Qdrant",
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[
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[
"Quantization - Qdrant"
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[
"Quantization - Qdrant",
"Binary Quantization"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(11) | [
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[
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] | p | At the moment, binary quantization shows good accuracy results with the following models: | [
"documentation",
"documentation/guides",
"documentation/guides/quantization"
] | 8,124 |
[
"Quantization - Qdrant",
"Binary Quantization"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > ul:nth-of-type(1) > li:nth-of-type(1) | [
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[
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[
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[
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] | p | The additional benefit of this method is that you can efficiently emulate Hamming distance with dot product. | [
"documentation",
"documentation/guides",
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[
"Quantization - Qdrant",
"Binary Quantization as Hamming Distance"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(19) | [
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"documentation",
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[
"Quantization - Qdrant",
"Binary Quantization as Hamming Distance"
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] | p | As you can see, both functions are equal up to a constant factor, which makes similarity search equivalent. | [
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"documentation/guides",
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[
"Quantization - Qdrant",
"Binary Quantization as Hamming Distance"
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[
"Quantization - Qdrant",
"Product Quantization"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(23) | [
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"Quantization - Qdrant"
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] | h2 | How to choose the right quantization method | [
"documentation",
"documentation/guides",
"documentation/guides/quantization"
] | 8,148 |
[
"Quantization - Qdrant",
"How to choose the right quantization method"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(25) | [
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"documentation",
"documentation/guides",
"documentation/guides/quantization"
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[
"Quantization - Qdrant",
"How to choose the right quantization method"
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[
"Quantization - Qdrant",
"How to choose the right quantization method"
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[
"Quantization - Qdrant",
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[
"Quantization - Qdrant",
"How to choose the right quantization method"
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] | li | Scalar Quantization is the most universal method, as it provides a good balance between accuracy, speed, and compression. | [
"documentation",
"documentation/guides",
"documentation/guides/quantization"
] | 8,153 |
[
"Quantization - Qdrant",
"How to choose the right quantization method"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > ul:nth-of-type(2) > li:nth-of-type(2) | [
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[
"Quantization - Qdrant",
"How to choose the right quantization method"
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[
"Quantization - Qdrant",
"How to choose the right quantization method"
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[
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"Setting up Quantization in Qdrant"
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[
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"Setting up Quantization in Qdrant"
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[
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[
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[
"Quantization - Qdrant",
"Setting up Quantization in Qdrant"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(30) | [
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[
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[
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] | p | To enable scalar quantization, you need to specify the quantization parameters in the quantization_config section of the collection configuration. | [
"documentation",
"documentation/guides",
"documentation/guides/quantization"
] | 8,164 |
[
"Quantization - Qdrant",
"Setting up Scalar Quantization"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(32) | [
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[
"Quantization - Qdrant",
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[
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[
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[
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[
"Quantization - Qdrant",
"Setting up Scalar Quantization"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(34) | [
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[
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] | p | This parameter only affects the resulting precision and not the memory footprint. | [
"documentation",
"documentation/guides",
"documentation/guides/quantization"
] | 8,172 |
[
"Quantization - Qdrant",
"Setting up Scalar Quantization"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(35) | [
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[
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[
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[
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[
"Quantization - Qdrant",
"Setting up Scalar Quantization"
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] | p | In this case, you can set always_ram to true to store quantized vectors in RAM. | [
"documentation",
"documentation/guides",
"documentation/guides/quantization"
] | 8,177 |
[
"Quantization - Qdrant"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > h3:nth-of-type(3) | [
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[
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[
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] | p | always_ram - whether to keep quantized vectors always cached in RAM or not. | [
"documentation",
"documentation/guides",
"documentation/guides/quantization"
] | 8,180 |
[
"Quantization - Qdrant",
"Setting up Binary Quantization"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(36) | [
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[
"Quantization - Qdrant",
"Setting up Binary Quantization"
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[
"Quantization - Qdrant",
"Setting up Binary Quantization"
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"documentation/guides",
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] | 8,183 |
[
"Quantization - Qdrant"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > h3:nth-of-type(4) | [
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[
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"Setting up Product Quantization"
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] | p | To enable product quantization, you need to specify the quantization parameters in the quantization_config section of the collection configuration. | [
"documentation",
"documentation/guides",
"documentation/guides/quantization"
] | 8,185 |
[
"Quantization - Qdrant",
"Setting up Product Quantization"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(42) | [
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[
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"Setting up Product Quantization"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(43) | [
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[
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[
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[
"Quantization - Qdrant",
"Setting up Product Quantization"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(44) | [
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"documentation",
"documentation/guides",
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[
"Quantization - Qdrant",
"Setting up Product Quantization"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(44) | [
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] | p | Then set always_ram to true. | [
"documentation",
"documentation/guides",
"documentation/guides/quantization"
] | 8,193 |
[
"Quantization - Qdrant"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > h3:nth-of-type(5) | [
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] | p | ignore - Toggle whether to ignore quantized vectors during the search process. | [
"documentation",
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"documentation/guides/quantization"
] | 8,198 |
[
"Quantization - Qdrant",
"Searching with Quantization"
] | /documentation/guides/quantization/ | html > body > div:nth-of-type(1) > section > div > div > div:nth-of-type(2) > article > p:nth-of-type(47) | [
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] | p | By default, Qdrant will use quantized vectors if they are available. | [
"documentation",
"documentation/guides",
"documentation/guides/quantization"
] | 8,199 |
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