I have learned how to start Azure Cloud Shell, which provides a convenient environment for managing Azure resources. Upon launching Cloud Shell, I can create an Azure OpenAI Service resource. This resource allows me to access advanced AI capabilities. Once the resource is set up, I can obtain the endpoint and key needed for application integration, ensuring secure access to the AI services.

I also discovered the concept of semantic search. This technique enhances traditional keyword-based search by understanding the meanings and relationships within the data. Semantic search leverages natural language processing to deliver more relevant results, considering user intent rather than just matching specific words.

Additionally, I learned about text embeddings, which are numerical representations of text that capture semantic meanings. These embeddings allow AI models to understand and compare textual data effectively. By converting words and phrases into vectors in a high-dimensional space, models can perform tasks like similarity measurement and clustering.

Together, semantic search and text embeddings offer powerful tools for improving information retrieval and data analysis, enabling more intuitive and effective interactions with text-based data.