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Fixed typos in the kNN documentation
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solutions/search/vector/knn.md

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@@ -49,7 +49,7 @@ The default type of {{es-serverless}} project is suitable for this use case unle
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Refer to [](dense-vector.md#vector-profiles).
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:::
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## kNN search methods: approxiamte and exact kNN [knn-methods]
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## kNN search methods: approximate and exact kNN [knn-methods]
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{{es}} supports two methods for kNN search:
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@@ -1224,7 +1224,7 @@ This example will:
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* Search using approximate kNN for the top 100 candidates.
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* Rescore the top 20 candidates (`oversample * k`) per shard using the original, non quantized vectors.
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* Return the top 10 (`k`) rescored candidates.
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* Merge the rescored canddidates from all shards, and return the top 10 (`k`) results.
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* Merge the rescored candidates from all shards, and return the top 10 (`k`) results.
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#### Additional rescoring techniques [dense-vector-knn-search-rescoring-rescore-additional]
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