Python RAG Tutorial 2026 | Build AI Apps with RAG (Retrieval Augmented Generation) | Simplilearn
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In this video python with RAG, you'll dive into the world of Retrieval-Augmented Generation (RAG) and learn how to build real, production-ready AI systems. The video covers everything from the core concepts of RAG, its importance in solving problems like hallucinations and outdated knowledge, to hands-on demos where you'll build systems like a RAG-based Question Answering system, Summarization system, and even a Dialogue-based chatbot. You'll also get to explore the inner workings of RAG, including how the retriever and generator components interact, how retrieval helps improve the accuracy of AI responses, and how RAG-based systems are used in real-world applications such as customer support, search engines, and medical systems. By the end, you’ll have a clear understanding of how RAG improves AI's reliability and scalability, and how to implement it practically using Python.
Following are the topics covered in this tutorial on ""Python With RAG"":
00:00:07 Introduction to rag
00:09:44 Retriever and generator explained
00:12:17 RAG Architecture
00:17:37 Question Answering system
00:27:26 Summarization System
00:34:18 Dialogue System
Related Videos:
✅ 1. https://www.youtube.com/watch?v=2nBhdc7t1Sk
✅ 2. https://www.youtube.com/watch?v=WQLzDDNEBGY
✅ 3. https://www.youtube.com/watch?v=ypEIL0aUdO8
✅ 4. https://www.youtube.com/watch?v=oWEKZFZU64I
✅ 5. https://www.youtube.com/watch?v=iM4F2EILSWU
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➡️ About Applied Generative AI Specialization
This Applied Generative AI course equips you to develop AI-powered applications using industry-relevant tools and frameworks. Build expertise in key concepts like prompt engineering, GANs, VAEs, and LLM architectures while exploring advanced topics, including agentic AI, LLM fine-tuning, RAG, and AI governance for practical, real-world deployments.
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