The chapter you just finished reading concentrated on indexing operations and handling data that is not flat or have relationships between the documents. We started with indexing tree-like structures and objects in Elasticsearch. We also used nested objects and learned when they can be used. We also used parent-child functionality and we learned how this approach is different compared to nested documents. Finally, we modified our indices structure with a call of an API and learned when this is possible.
In the next chapter, we will get back to querying related topics. We will learn how Lucene scoring works, how to use scripts in Elasticsearch, and how to handle multilingual data. We will affect scoring using boosts and we will use synonyms to improve users' search results. Finally, we will look at what we can do to see how our documents were scored.