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fix: more fixed formatting issue in faq (#45)
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docs/faq/index.md

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@@ -17,9 +17,9 @@ Chroma uses distance metrics to measure how dissimilar a result is from a query.
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In contrast, similarity metrics measure how similar two items are, often on a scale where higher values represent greater similarity. For example:
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- Cosine Similarity ranges from -1 to 1, where:
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- 1 indicates identical orientation (maximum similarity),
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- 0 indicates orthogonality (no similarity),
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- -1 indicates opposite orientation (maximum dissimilarity).
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- 1 indicates identical orientation (maximum similarity),
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- 0 indicates orthogonality (no similarity),
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- -1 indicates opposite orientation (maximum dissimilarity).
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- Dot Product can range from negative to positive infinity, depending on the vectors' magnitudes and directions. When vectors are normalized and non-negative, the dot product ranges from 0 to 1.
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#### Why Does Chroma Use Distance Metrics?

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