From the course: Introduction to AI-Native Vector Databases
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Challenge: Vector search with Weaviate
From the course: Introduction to AI-Native Vector Databases
Challenge: Vector search with Weaviate
In this chapter, we introduce the concept of vector search, how to set up Weaviate and how to use it to perform vector search. Now, let's apply our knowledge with a challenge. For this challenge, we'll be using Weaviate. First, let's load up the data set that has 1000 objects in total. Keep at least the question, answer, and round properties. Second, how do you check for the number of objects stored in the database? Third, search for objects that are close to the concept and show question answers. Lastly, can you find related questions that were used in double jeopardy rounds? 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 my solutions.
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Contents
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(Locked)
Frame the query as a question or search1m 56s
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Generate the question in machine-understandable language1m 22s
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Adding data to a vector database9m 48s
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Performing semantic searches using Weaviate13m 36s
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Challenge: Vector search with Weaviate49s
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Solution: Vector Search with Weaviate11m 5s
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