Summary
In this chapter, our exploration of the world of similarity search with images provided us with an understanding of its evolution and practical workings. We discussed the transformative power of vector-based image search in today’s fast-paced digital environment. We gained the ability to create vector representations of images and integrate them into Elasticsearch. We learned how harnessing the power of kNN search offers a myriad of possibilities for enhancing user experiences. We also saw how the applications of image and multimedia search span across numerous domains, solidifying its importance in the modern digital age.
In the next chapter, we will discuss how NLP models can be used, along with other Elasticsearch features, to redact personally identifiable information before it is ingested into Elasticsearch.
