课程: Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications

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Building a simple RAG example

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课程: Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications

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Building a simple RAG example

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- In this course we're going to use a set of Jupyter Notebooks that will allow us to run the code, see how it's working, examine the output, and so on. You can use this GitHub repository with all the notebooks. There are also some explanations, some diagram that you can explore, explanation of the different problems we're going to solve, and a quick setup. So you can either follow the notebook here by just clicking them and see this kind of a static view of it, or you can go and install it locally. There are two options to run all the dependencies. One is a traditional pip. All the code is in Python. Or you can use uv. It's much faster using Rust, and Rust is a growing language now alongside Python. And Qdrant, that we are going to use is written in Rust and so on. So the database, enjoy the performance of Rust. So feel free to follow the notebooks either in the GitHub website or around it locally. So here I'm going to use my Visual Studio Code environment powered by Cursor, and we…

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