Summary
This chapter describes the concept of multimodal data, and cross-modal and multimodal search problems. First, we introduced multimodal data and how to represent it in Jina. Then, we learned how to use a deep neural network to get the vector features from data of different modalities. Finally, we introduced cross-modal and multimodal search systems. This unlocks a lot of powerful search patterns and makes it easier to understand how to implement cross-modal and multimodal search applications with Jina.
In the next chapter, we will introduce some basic practical examples to explain how to use Jina to implement search applications.