Tweaked wording

Author: haileytap

articles/search/search-how-to-integrated-vectorization.md

@@ -597,6 +597,8 @@ To vectorize your chunked content, the skillset needs an embedding skill that po
         }
    ```
 
+1. Delete the skill definitions that don't apply to your embedding model.
+
 1. If you're using the Azure OpenAI Embedding skill, set `dimensions` to the [number of embeddings generated by your embedding model](cognitive-search-skill-azure-openai-embedding.md#supported-dimensions-by-modelname).
 
 > [!NOTE]
@@ -623,7 +625,7 @@ In addition to vector fields, the sample index in the following steps contains n
 
 1. Use [Create Index](/rest/api/searchservice/indexes/create) to define a minimum schema.
 
-1. so that you have a definition to work with before adding a vector configuration and vector fields.
+1. So that you have a definition to work with before adding a vector configuration and vector fields...
 
 ### [Python](#tab/vector-index-python)