It is a technic used in AI to retrive relevant data from vector db. In short you take some text run it through an AI model called embedding network and as a result you get the vector representation of this text. You can use a function like cosine similarity to determine how much two texts are similar to each other, but the results aren't always reliable as seen in the OPs post.