I am learning Azure Cognitive Search and got a bit confused about Analizer and Normilizer. https://learn.microsoft.com/en-us/azure/search/search-analyzers https://learn.microsoft.com/en-us/azure/search/search-normalizers
As far as I understood the only difference is the fact that Analyzers perform tockenization.
Could someone provide good example whene I should use one over antoher?
Thank you for your time!
The simplest explanation is to use an analyzer for properties containing blocks of text. The normalizer is more suitable for properties with short content that you typically would use for filtering or sorting like City, Country, Name, etc.
A block of text will have content in a specific language. A language-specific analyzer will do a better job of producing good tokens for internal use by the search engine. You will find that you get better recall for textual content that is correctly processed using a relevant analyzer.