This document introduces text similarity capabilities on the Peltarion platform. It discusses how similarity can quantify relationships between text, and how the platform trains embedding models, indexes datasets, and compares embeddings to return similar matches. Examples of use cases like searching legal texts and matching requirements in requests for proposals are provided. Customer support options and a demo of the data preparation process are also summarized.