title: Word2vec with elasticsearch for texts similarity
body: <p>I have a large collection of texts, where each text is rapidly growing. I need to implement a similarity search.</p>
  
  <p>The idea is to embed each word as word2vec, and represent each text as a normalized vector by vector-adding the embeddings of each word in it. The subsequent additions to the text would only result in the refinement of the resultant text's vector by adding new word vectors to it. </p>
  
  <p>Is it possible to use elasticsearch for  cosine similarity, by storing only the coordinates of each text's normalized vector in a document? If so, what's the proper index structure for such search? </p>