Vector Search Basics Quiz

What you'll be asked

1. What is the primary purpose of a vector embedding in Azure AI Search?
2. Which component is responsible for generating vector embeddings from raw text during the Azure AI Search indexing process?
3. In the context of Azure AI Search, what does the 'HNSW' algorithm facilitate?
4. When performing a hybrid search in Azure AI Search, how are the results combined?
5. If your vector search results are consistently failing to return relevant documents, which configuration should be audited first in your vector index definition?

Answers and explanations come after you submit.