Fixed typo

Author: v-shils

articles/search/vector-search-index-size.md

@@ -27,7 +27,7 @@ For each vector field, Azure AI Search constructs an internal vector index using
 
 + Vector index size is measured in bytes.
 
-+ Vector quotas are based on memory constraints. For vector indexes created using the Hierarchical Navigable Small World (HNSW) algorithm, searchable vector indexes reside in memory. At the same time, there must also be sufficient memory for other runtime operations. Vector quotas exist to ensure that the overall system remains stable and balanced for all workloads. If you use exhaustive KNN algorithm, indexes are loaded into memory only at query time.W
++ Vector quotas are based on memory constraints. For vector indexes created using the Hierarchical Navigable Small World (HNSW) algorithm, searchable vector indexes reside in memory. At the same time, there must also be sufficient memory for other runtime operations. Vector quotas exist to ensure that the overall system remains stable and balanced for all workloads. If you use exhaustive KNN algorithm, indexes are loaded into memory only at query time.
 
 + Vector indexes are also subject to disk quota, in the sense that all indexes are subject disk quota. There's no separate disk quota for vector indexes.