Update README with explanations of how RAG works

[huyfififi]

5

[huyfififi]

@carolina-museum any updates on this? 😃

[carolina-museum]

No..! Thank you for reminding me😃

However, I am slowly making machine-learning-basics articles on another repository: https://github.com/carolina-museum/n-gram-bot That will explain the preliminary concepts to understand RAG.

The overall picture I am planning for now is:

• [done] NN basics
• [working] NLP basics (NLP tasks, tokenization, traditional methods like n-grams & LSTM)
• Transformers (architecture, improved architectures)
• RAG

But now that I've listed these, I don't think all of those are necessary to understand RAG. I will start working on this issue! Thank you!

[huyfififi]

Adding a new section that concisely summarizes how RAG works should be enough for this task. Let's keep each task small and create as many pull requests as possible

[carolina-museum]

Updated! Would you like to have more content to be added?

[huyfififi]

@carolina-museum That should be enough for now. Please close this issue. Awesome work 👍

[carolina-museum]

Thank you!