krishnaik06/RAG-Tutorials ? reverse-engineered prompt

Build me a simple RAG learning project that shows a few different ways to do retrieval augmented generation, with clear notebook examples and a small runnable app. I want it to be easy to follow for someone learning, so include a setup that works from a fresh install, some sample data, and a couple of end to end examples using the local files in the repo. Please make the notebooks explain the flow from loading documents, indexing or searching them, and then answering questions from the retrieved context.

If it helps, organize the code so the reusable pieces live in a normal source folder and the demo app can be started from a single Python file. Keep the UI basic and practical, just something that lets me ask a question and see the answer with the supporting passages. Look up current docs online if you need to.