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

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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: github.com/Farzad-R/LLM-Zero-to-Hundred/tree/maste….
📚 Explore the full GitHub repo: github.com/Farzad-R/LLM-Zero-to-Hundred/tree/maste…
🔗 Connect on LinkedIn: www.linkedin.com/in/farzad-roozitalab/
🌐 Visit my website: farzad-r.github.io/

Stay tuned for practical insights and don't forget to subscribe for updates on future videos!

#RAG #llm #ChatBot #GPT #Python #AI #OpenAI #Langchain #Gradio #chroma #embedding

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