addressed gemini comments

Author: azaddhirajkumar

tutorial/markdown/aspnet/semantic-kernel/semantic-kernel-tutorial.md

@@ -31,8 +31,6 @@ length: 30 Mins
 
 This demo showcases the **Semantic Kernel Couchbase connector** - a .NET library that bridges Microsoft's Semantic Kernel framework with Couchbase's vector search capabilities. The connector provides a seamless integration that allows developers to build AI-powered applications using familiar Semantic Kernel abstractions while leveraging Couchbase's vector indexing for high-performance semantic search.
 
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 The connector supports three index types:
 - **Hyperscale Vector Index** - for pure vector search at scale ← *Used in this demo*
 - **Composite Vector Index** - for vector search with heavy scalar filtering