In an effort scrutinise the performance of Azure AI Search, I decided to compare what it be like to observe the difference in confidence search scores and relevance of results based on whether the vector fields utilised whole document vector embeddings or whether chunked vector embeddings where used. It came

When dealing with searching for semantic meaning through data in your apps, Azure AI Search can come to the rescue. The idea is to be able to look at a source of data and then vectorise it with the help of an Embedding model (typically from AI model providers such