You have an Azure subscription.
You need to build an app that will compare documents for semantic similarity. The solution must meet the following requirements:
• Return numeric vectors that represent the tokens of each document.
• Minimize development effort.
Which Azure OpenAI model should you use?
If you need to compare documents for semantic similarity and require numeric vectors that represent the tokens of each document, using embeddings is the most suitable approach. Embeddings are designed to convert text into numeric vectors, capturing semantic meaning and relationships. They are specifically tailored for tasks like semantic similarity, making them the ideal choice to minimize development effort while meeting the specified requirements.
correct