Although it would be even better to use a users like history, but I’m not sure if/how those can be accessed.
Speaking of, I’m curious how other folks use embeddings. I know you can average multiple embeddings together, but is anyone else doing other translations and having success? Thinking of King - Man + Women = Queen, It seems a lot of the time I see questions being directly used as inputs for semantic search/RAG. I wonder if it might make sense to create a large set of question-answer pairs and embed them and then determine the average translation to move from “question space” to “answer space”, then when you embed questions you apply the translation on the embedding to move it into “answer space” before performing RAG, or maybe this would just add too much noise?