Advantages of vector search over normal keyword+symantic search

Hi,

As part of this project, did anyone compare how the vector search performs in comparison to normal keyword search+symantic option in Azure Cognitive Search?
Especially in following areas.
1. Relevance of search results - better or worse
2. Performance or elapsed time - better or worse.
3. Use cases where keyword+symantic is better and where Vector is better.

Curious to know in case someone has already done it.
--regards.

The issue names no files, tests, or entry points. Start by reviewing the repository's Azure AI Search vector-search samples and define a reproducible comparison with keyword and semantic search; done would be a documented assessment of relevance, elapsed time, and suitable use cases.

Written by the indexing model from the issue text.