In this chapter, we saw an overview of text analysis, analyzers, tokenizers, filters, and how to configure an analyzer along with tokenizers and filters. We also saw the implementation approach for putting tokenizers and filters together. Then we moved on to multiple search. Here we explored how Solr determines a language, two approaches to creating separate fields and separate indexes per language for multiple-language search, and the pros and cons of each approach. Finally, we understood Solr phonetic matching mechanics using the BMPM algorithm.

In the next chapter, we will see how to do indexing using client API, upload data using index handlers, upload data using Apache Tika with Solr Cell, and detect languages while indexing.