From the course: Introduction to AI-Native Vector Databases
Challenge: Vector DBs
From the course: Introduction to AI-Native Vector Databases
Challenge: Vector DBs
In this chapter, we explained how vector databases can be used to power recommender systems, how hybrid search can help you balance between keyword search and vector search, and how vector databases can be used to improve large language models by providing them context. Now, let's apply the understanding of RAG with a challenge, and we'll see how good large language models are at answering jeopardy-like questions. Using the template notebook, write a query that extracts three animal-related questions from the database. Print these questions out. Use the with generate query to provide these questions to an LLM and get it to answer these questions. See how many of these questions the LLM got correct by printing out the correct answer from the database. 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.