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Fix typo (achieving vs. acheiving)
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articles/cosmos-db/mongodb/vcore/vector-search.md

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@@ -125,7 +125,7 @@ To create a vector index using the IVF (Inverted File) algorithm, use the follow
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| `dimensions` | integer | Number of dimensions for vector similarity. The maximum number of supported dimensions is `2000`. |
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> [!IMPORTANT]
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> Setting the _numLists_ parameter correctly is important for acheiving good accuracy and performance. We recommend that `numLists` is set to `documentCount/1000` for up to 1 million documents and to `sqrt(documentCount)` for more than 1 million documents.
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> Setting the _numLists_ parameter correctly is important for achieving good accuracy and performance. We recommend that `numLists` is set to `documentCount/1000` for up to 1 million documents and to `sqrt(documentCount)` for more than 1 million documents.
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>
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> As the number of items in your database grows, you should tune _numLists_ to be larger in order to achieve good latency performance for vector search.
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