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4 changes: 2 additions & 2 deletions solutions/search/vector/knn.md
Original file line number Diff line number Diff line change
Expand Up @@ -49,7 +49,7 @@ The default type of {{es-serverless}} project is suitable for this use case unle
Refer to [](dense-vector.md#vector-profiles).
:::

## kNN search methods: approxiamte and exact kNN [knn-methods]
## kNN search methods: approximate and exact kNN [knn-methods]

{{es}} supports two methods for kNN search:

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* Search using approximate kNN for the top 100 candidates.
* Rescore the top 20 candidates (`oversample * k`) per shard using the original, non quantized vectors.
* Return the top 10 (`k`) rescored candidates.
* Merge the rescored canddidates from all shards, and return the top 10 (`k`) results.
* Merge the rescored candidates from all shards, and return the top 10 (`k`) results.

#### Additional rescoring techniques [dense-vector-knn-search-rescoring-rescore-additional]

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