From the course: Introduction to AI-Native Vector Databases
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Challenge: Search with images and text
From the course: Introduction to AI-Native Vector Databases
Challenge: Search with images and text
In this chapter, we explained how machine learning models can be used to embed your data into vectors, how you can specify which ML model to use with Weaviate, and how to build multimedia search functionality with Weaviate and the clip model. Now, let's test this knowledge with a challenge. We'll use the provided data set to complete the following objectives. Use the starter notebook and write code to help you first specify an ML model in Weaviate that can understand both images and text. Second, add the provided text data to your vector database, and finally, search the data with a text query and search the data with an image query. Take some time to work on this challenge, and once you've come up with a solution, meet me in the next video, where I'll walk you through what I did.
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