From the course: Hands-On AI: Introduction to Retrieval-Augmented Generation (RAG)

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Solution: Comparing results

Solution: Comparing results - Python Tutorial

From the course: Hands-On AI: Introduction to Retrieval-Augmented Generation (RAG)

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Solution: Comparing results

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(upbeat music) - [Narrator] This is my solution to the compare and contrast of different setups. So here in the first couple blocks, we're just doing the same thing. We're getting our API key. We're getting the URL, we're setting up our LLM. We're setting up our embedding model. We're launching Phoenix. We're adding it to our LlamaIndex. Then we're going to load an index and we're going to ask some questions. And now, here's where we can do the compare and contrast. Let's load a different index and ask the same questions. As you can see, we got the same answers. Big Star Collectibles was started by Saura Chen. The story for Big Star Collectibles began at the International Arts Conference in 2013. Big Star Collectibles was started by Saura Chen. The story for Big Star Collectibles began in 2013 at the International Arts Conference. The answers are semantically the same, but they're structured a little bit differently. There may be other differences that you might get as you play around…

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