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properly assign language to snippets

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generall
2023-07-13 01:45:36 +02:00
parent f460c8a7c0
commit 80c97b6ac2
2 changed files with 2 additions and 2 deletions
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qdrant-landing/content/articles/quantum-quantization.md
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@@ -23,7 +23,7 @@ Quantum quantization is a novel approach that leverages the power of quantum com
The conversion of float32 vectors to qbit vectors can be represented by the following formula:
```
```text
qbit_vector = Q( float32_vector )
```
qdrant-landing/content/articles/scalar-quantization.md
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@@ -29,7 +29,7 @@ So a single number needs 4 bytes of the memory and a 512-dimensional vector occu
2 kB. That's only the memory used to store the vector. There is also an overhead of the
HNSW graph, so as a rule of thumb we estimate the memory size with the following formula:
```
```text
memory_size = 1.5 * number_of_vectors * vector_dimension * 4 bytes
```