I have documents, say for example, D1, D2, D3... Dm.
Every Di has its individual components or keywords k1, k2, k3,... kn, where ki is an n-dimensional vector. The number of individual components varies between documents.
What are the ways to find how close Di are? Or what is the best way to represent a document using its keyword vectors? Please note that I'm using a custom embedding here.