Word embeddings for Information Retrieval - Document search? What are good ways to find for single sentence (query) the most similiar document (text). I asked myself if word vectors (weighted average of the documents) are suitable to map a single sentence to a whole document?
Doc2Vec is on possible approach. With this, model learns to "cluster" similar sentences together. 



Most simplistic approach is to aggregate word vectors but that ignores order of words. Details on few of the approaches : 

https://towardsdatascience.com/sentence-embedding-3053db22ea77
https://medium.com/explorations-in-language-and-learning/how-to-obtain-sentence-vectors-2a6d88bd3c8b