Resource mentioned in this lesson: Leverage OpenAI’s API in Your Python Projects
Setting Up Your Environment
00:00
In this lesson, you’ll be setting up your environment, and that will involve four steps. So firstly, obtaining your API key, if you don’t already have one, securely storing your API key, very important, setting up your virtual environment, and then installing LlamaIndex.
00:18 Now, steps one and two have been explained in quite a bit of detail in another video course called Leverage OpenAI’s API in Your Python Projects. So that is not new content.
00:30 So in order to maximize the new content in this course, I hope you don’t mind me referring you to this other course in case you haven’t obtained your API key yet, and in case you haven’t stored it securely yet.
00:45
Steps three and four, then, well, if you download the code that comes with this video course, then there is a README.md file. And if you follow those instructions, then steps three and four will be done automatically for you.
01:00 That will take us to building a RAG query engine in the next lesson.
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