From the course: Developing RAG Apps with LlamaIndex and Next.js
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Hands-on: Set up LlamaIndex simple RAG system
From the course: Developing RAG Apps with LlamaIndex and Next.js
Hands-on: Set up LlamaIndex simple RAG system
All right, so I'm going to create a directory for this project. So let's just call this Llama Index, a CD into Llama Index like that. So you can see it's pretty clear. There's nothing there. So how do we get started with Llama Index? So if we go to Google and say Llama Index, of course, that's the first thing you're going to see. Let's go to the second line here, second link. If you click here, then you can see that this is what you should be able to see. it's beautiful. Of course, you may change by the time you watch this, but that doesn't matter. It tells you exactly what it is. It's the leading data framework for building large language model applications. Open source. Now, we have the way of getting started using Python. In this course, we're going to focus on TypeScript. But, of course, you can learn more. You can look at what it does. You can see you have data embedding large models, vector, evals, and at the center of everything goes in through Llama Index, and then we get, we…
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Contents
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Deep dive into LlamaIndex and key features: Overview4m 30s
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RAG crash course6m 20s
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LlamaIndex flow: Overview2m 41s
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LlamaIndex: Data ingestion, indexing and query interface overview3m 37s
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Hands-on: Set up LlamaIndex simple RAG system12m 19s
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Summary1m 13s
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