Add Search embedding sample for reduced embedding dimensions

[alzimmermsft]

Add a sample for reducing embedding dimensions. Provide cases for scenarios where embeddings are being indexed client-side and with the vectorizer skill.

Additionally, give some overview on the reduced dimensions when the embedding is or is not normalized. This is a case where the vector search algorithm metric may change when searching (dot product when normalized and cosine when not normalized).