Using vector embeddings, Azure Cosmos DB's vector search capability enables you to run similarity searches on data kept in your Cosmos DB container. This feature is very helpful in situations requiring computer vision, natural language processing, machine learning, and other applications where you need to locate objects that are comparable to a specified query item.
Your AI-powered apps can advance significantly with the help of the Large Language Models (LLMs) in Azure OpenAI. When LLMs have timely access to the appropriate data from your application's data store, their usefulness can rise considerably.