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Update vector-search.md
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articles/cosmos-db/vector-search.md

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@@ -160,7 +160,7 @@ A few points to consider:
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- The `diskANN` index is a separate index defined specifically for vectors using [DiskANN](https://www.microsoft.com/research/publication/diskann-fast-accurate-billion-point-nearest-neighbor-search-on-a-single-node/), a suite of high performance vector indexing algorithms developed by Microsoft Research. DiskANN indexes can offer some of the lowest latency, highest throughput, and lowest RU cost queries, while still maintaining high accuracy. In general, DiskANN is the most performant of all index types if your search query is scoped to more than 50,000 vectors.
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> [!NOTE]
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> You can add new path configurations or remove existing ones, but you cannot change the settings of a vector emebdding policy or vector indexing policy directly. To do so you must first drop the existing vector policy and/or index, then add it back with new configuration.
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> You can add new path configurations or remove existing ones, but you cannot change the settings of a vector embedding policy or vector indexing policy directly. To do so you must first drop the existing vector policy and/or index, then add it back with new configuration.
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Here are examples of valid vector index policies:
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