Sentence Transformers documentation describes this problem as “asymmetric search”. Some of their models are fine tuned to better handle short queries matched to longer documents. (https://www.sbert.net/examples/applications/semantic-search/...)

Alternatively, you could mean pool (average) the document embeddings for the most popular click results for a given query and use that as the query embedding.