In this chapter, we went through the basics of indexing in Solr. We saw the structure of the Solr index and how analyzers, tokenizers, and filters work in the conversion of text into searchable tokens. We went through the complexities involved in multilingual search and also discussed the strategies that can be used to handle the complexities. We discussed the formula for measuring the quality of search results and understood the meaning of precision and recall. We saw in brief the problems faced by e-commerce and job websites during indexing and search. We discussed the challenges faced while indexing a large number of documents. We saw some tips on improving the speed of indexing. Finally, we discussed distributed indexing and search and how SolrCloud provides a solution for implementing the same.