RAG explained: A Step-by-Step Guide to Vector Search and Content Retrieval

This is the first video covering the fundamentals that we need for designing the Chatbots. We start by breaking down text embedding and its role in Retrieval-Augmented Generation (RAG) systems. Then, we put theory into practice by building a simple RAG system from scratch.

📘 Get the tutorial notebooks here: https://github.com/Farzad-R/LLM-Zero-to-Hundred/tree/master/tutorials/text_embedding_tutorial.
📚 Explore the full GitHub repo: https://github.com/Farzad-R/LLM-Zero-to-Hundred/tree/master
🔗 Connect on LinkedIn: https://www.linkedin.com/in/farzad-roozitalab/
🌐 Visit my website: https://farzad-r.github.io/

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