diff --git a/_search-plugins/knn/approximate-knn.md b/_search-plugins/knn/approximate-knn.md
index 39e9da7525..c0a9557728 100644
--- a/_search-plugins/knn/approximate-knn.md
+++ b/_search-plugins/knn/approximate-knn.md
@@ -138,6 +138,7 @@ For any engine, each shard returns `size` results to the coordinator node. Thus,
 The following table provides examples of the number of results returned by various engines in several scenarios. For these examples, assume that the number of documents contained in the segments and shards is sufficient to return the number of results specified in the table.
 
 `size` 	| `k` | Number of primary shards | 	Number of segments per shard | Number of returned results, Faiss/NMSLIB | Number of returned results, Lucene
+:--- | :--- | :--- | :--- | :--- | :---
 10 |	1 |	1 |	4 |	4 | 1
 10 | 10 |	1 |	4 |	10 | 10
 10 |	1 |	2 |	4 |	8 | 2
@@ -326,4 +327,4 @@ included in the distance function.
 With cosine similarity, it is not valid to pass a zero vector (`[0, 0, ...]`) as input. This is because the magnitude of
 such a vector is 0, which raises a `divide by 0` exception in the corresponding formula. Requests
 containing the zero vector will be rejected and a corresponding exception will be thrown.
-{: .note }
\ No newline at end of file
+{: .note }