Learn how to build an intelligent Document Q&A Chatbot using RAG (Retrieval-Augmented Generation), ChromaDB, and LLaMA 3. In this hands-on LIVE session, you’ll upload PDFs, create embeddings, store them in a vector database, and build a complete retrieval pipeline to answer questions from documents accurately. Watch a LIVE comparison of Retrieval vs Hallucination and understand how RAG improves AI response quality in real-world applications. 🔥 What you’ll learn: • RAG vs Fine-Tuning —
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