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remove mentions of the exact domain from the content (#902)
* remove mentions of the exact domain from the content * fix links * fix links
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@@ -54,7 +54,7 @@ As embeddings are vectors, one can apply a simple function to calculate the simi
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So with similarity learning, all we need to do is provide pairs of correct questions and answers.
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And then, the model will learn to distinguish proper answers by the similarity of embeddings.
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>If you want to learn more about similarity learning and applications, check out this [article](https://qdrant.tech/documentation/tutorials/neural-search/) which might be an asset.
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>If you want to learn more about similarity learning and applications, check out this [article](/documentation/tutorials/neural-search/) which might be an asset.
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## Let's build
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