Summary

This book is going to guide you through pragmatic, practical examples that you will be able to replicate for your needs, ranging from building a vector-powered search application to applying vectors to domains such as observability and security. It targets a large spectrum of practitioners but is more focused on the operations teams, which deal with specific challenges and could make good use of combining vectors and Elastic.

In this chapter, you learned about the key aspects of NLP, vector search, AI-based search, and its relative techniques. You were also shown pieces of code that you can run and adapt for your business applications. Lastly, you gained a high-level understanding of Elasticsearch’s role in this context as well as how to apply vector search beyond the search use case, such as in terms of observability.

In the next chapter, we will get started by looking at vectors in Elasticsearch. We will explore the current search methodology and see how vectors...