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doc: Update sparse-vectors.md

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Broda Noel
2025-08-14 05:58:06 +02:00
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@@ -26,7 +26,7 @@ Sparse vectors are like the Marie Kondo of data—keeping only what sparks joy (
Consider a simplified example of 2 documents, each with 200 words. A dense vector would have several hundred non-zero values, whereas a sparse vector could have, much fewer, say only 20 non-zero values.
In this example: We assume it selects only 2 words or tokens from each document. The rest of the values are zero. This is why it's called a sparse vector.
In this example: We assume it selects only 2 words or tokens from each document.
```python
dense = [0.2, 0.3, 0.5, 0.7, ...] # several hundred floats