[DOC-12608] Add Cosine Similarity Metric #290
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| Use *cosine* similarity to get the best results with an embedding model that uses cosine similarity. | ||
| Cosine similarity works well for semantic search, document classification, and recommendation systems. | ||
| + | ||
| The Search Service will normalize any vectors before indexing when using cosine similarity. |
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Worth mentioning that - we will also normalize the query vector prior to executing the nearest neighbor search if the field it is associated with is using the cosine similarity distance metric.
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Adding another entry to the similarity metric setting for cosine similarity.
Only one change needed as it's in a partial already.