From the course: Hands-On AI: RAG using LlamaIndex

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Data preparation for RAG

Data preparation for RAG - LlamaIndex Tutorial

From the course: Hands-On AI: RAG using LlamaIndex

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Data preparation for RAG

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- [Instructor] We've covered a lot of ground in this course already. We've touched on the core components of LlamaIndex from both the low level APIs, and we saw how we can use the higher level abstractions like the ingestion pipeline and the query pipeline to help reduce the boilerplate code in our applications and to help make our code more readable. So we've talked a lot about LlamaIndex and its core components. And now as promised, and I feel like I've promised you this several times throughout the course. We are about to get to some Retrieval Augmented Generation, and so I'm pumped for this. Of course, it all starts with the appropriate imports and installations. So note that you need to install these packages before running the notebook. I've already done so. So do make sure that you install those as a reminder to pull up the terminal in your code space environment here. Just Control + shift + backtick. It'll open up the terminal. Once the terminal is open, make sure you activate…

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