Merge pull request #5628 from robertklee/robertlee/fix-vector-docs

fix inconsistent limits in vector docs

Author: prmerger-automator[bot]

articles/search/search-get-started-vector.md

@@ -647,7 +647,7 @@ Key takeaways about the [Documents - Index REST API](/rest/api/searchservice/doc
 
 - Documents in the payload consist of fields defined in the index schema.
 
-- Vector fields contain floating point values. The dimensions attribute has a minimum of 2 and a maximum of 3,072 floating point values each. This quickstart sets the dimensions attribute to 1,536 because that's the size of embeddings generated by the Azure OpenAI **text-embedding-3-small** model.
+- Vector fields contain floating point values. The dimensions attribute has a minimum of 2 and a maximum of `4096` floating point values each. This quickstart sets the dimensions attribute to 1,536 because that's the size of embeddings generated by the Azure OpenAI **text-embedding-3-small** model.
 
 ## Run queries
 

articles/search/search-limits-quotas-capacity.md

@@ -41,7 +41,7 @@ Maximum limits on storage, workloads, and quantities of indexes and other object
 |----------|------|--------|----|----|----|------------|----|----|
 | Maximum indexes |3 |5 or 15 |50 |200 |200 |1000 per partition or 3000 per service |10 |10 |
 | Maximum simple fields per index&nbsp;<sup>2</sup> |1000 |100 |1000 |1000 |1000 |1000 |1000 |1000 |
-| Maximum dimensions per vector field | 4098|4098|4098|4098|4098|4098|4098|4098|
+| Maximum dimensions per vector field | 4096|4096|4096|4096|4096|4096|4096|4096|
 | Maximum complex collections per index |40 |40 |40 |40 |40 |40 |40 |40 |
 | Maximum elements across all complex collections per document&nbsp;<sup>3</sup> |3000 |3000 |3000 |3000 |3000 |3000 |3000 |3000 |
 | Maximum depth of complex fields |10 |10 |10 |10 |10 |10 |10 |10 |