Merge pull request #293237 from flang-msft/fxl---improved-grammar-and-clarity-125486

Fxl   improved grammar and clarity 125486

Author: prmerger-automator[bot]

articles/azure-cache-for-redis/cache-overview-vector-similarity.md

@@ -12,7 +12,7 @@ ms.date: 04/24/2024
 
 # What are Vector Embeddings and Vector Search in Azure Cache for Redis?
 
-Vector similarity search (VSS) has become a popular technology for AI-powered intelligent applications. Azure Cache for Redis can be used as a vector database by combining it models like [Azure OpenAI](/azure/ai-services/openai/overview) for Retrieval-Augmented Generative AI and analysis scenarios. This article is a high-level introduction to the concept of vector embeddings, vector similarity search, and how Redis can be used as a vector database powering intelligent applications.
+Vector similarity search (VSS) has become a popular technology for AI-powered intelligent applications. Azure Cache for Redis can be used as a vector database when combined with models like [Azure OpenAI](/azure/ai-services/openai/overview) for Retrieval-Augmented Generative AI and other analysis scenarios. This article is a high-level introduction to the concept of vector embeddings, vector similarity search, and how Redis can be used as a vector database powering intelligent applications.
 
 For tutorials and sample applications on how to use Azure Cache for Redis and Azure OpenAI to perform vector similarity search, see the following: