title: How to combine my python nlp solution for document ranking with solr for indexing?
body: <p>I'm new to NLP and Solr. I'm trying to build an application to rank past court case documents based on a newly given case document. I confused about how to use Solr for document indexing to speed up my processing time.</p>
  
  <p>I have built a python solution including Preprocessing with NLTK library and lemmatization with Spacy library. And I have calculated document similarity with Word2Vec Word Embedding Model. </p>
  
  <p>I'm stuck in the middle and am confused about whether I have done correctly. Can someone help me out?</p>
  
  <p>Thanks in advance.</p>