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source/fundamentals/atlas-vector-search.txt
@@ -108,7 +108,7 @@ The following example shows how to build an aggregation pipeline that uses the
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Neighbor (ANN) vector search with the following specifications:
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- Queries the ``plot_embedding`` field with the BSON binary ``queryVector``
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-- During the search, uses 15o nearest neighbors, as determined by the
+- Sets the number of nearest neighbors used in the search to 150 by using the
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``numCandidates`` option
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- Uses the ``vector_search`` index created on the ``plot_embedding`` field
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- Returns 5 documents with the specified ``plot`` and ``title`` fields
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