RAG Explained For Beginners | What Is RAG | RAG Tutorial | Retrieval Augmented Reality | Simplilearn

🔥Applied Generative AI Specialization, delivered by Simplilearn in collaboration with Purdue University - https://www.simplilearn.com/applied-ai-course?utm_campaign=HkUs8mb0k3s&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥Partnership is with E&ICT of IIT Kanpur - Professional Certificate Course in Generative AI and Machine Learning - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=HkUs8mb0k3s&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥Partnership is with IITM Pravartak - Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=HkUs8mb0k3s&utm_medium=DescriptionFirstFold&utm_source=Youtube This video introduces the concept of RAG (Retrieval-Augmented Generation) in simple terms. It explains how traditional AI tools, like large language models (LLMs), struggle with providing accurate answers when dealing with company-specific, private documents like contracts, internal policies, or reports. RAG solves this by enabling the AI to first retrieve relevant information from a set of documents before generating an answer. The process involves key steps like chunking (breaking documents into smaller pieces), embeddings (converting text into numerical representations), and using a vector database to store and search for meaning-based information efficiently. You'll also learn why RAG is often preferred over fine-tuning for private, frequently updated documents, making it ideal for use in applications like company knowledge assistants, customer support bots, legal document assistants, and more. 00:00 - Introduction to RAG 02:35 - What Problem Does RAG Solve? 03:59 - What Does RAG Actually Mean? 04:47 - Analogy 05:19 - How Does RAG Work? 11:06 - RAG Architecture Explained 12:36 - Important Terms You Must Know 13:35 - Why RAG is better than Fine Tuning? 14:22 - What Makes RAG Work Better or Fail? 15:21 - Real World Use Cases of RAG Related Videos: ✅ 1. https://youtu.be/WQTaM7tBlvc?si=DNwngDMhgEaiXQXU ✅ 2. https://youtu.be/oWEKZFZU64I?si=vmyxE1bDdohydwat ✅ 3. https://youtu.be/ypEIL0aUdO8?si=2w5yTumcUN5z71Il ✅ 4. https://youtu.be/B4hyH7lwUkU?si=TB2cB6O5mmsCcoS8 ✅ 5. https://youtu.be/ws9FdZt5M8I?si=qtYiB_hQyBXhvQ-q ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH ⏩ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq #ragexplained #ragexplainedforbeginners #ragexplainedai #raggenerativeai #ragaitutorial #ragaiexplained #generativeairagfullcourse #retrievalaugmentedgeneration #retrievalaugmentedgenerationtutorial #whatisrag #whatisragandhowitworks #whatisragandhowdoesitworks #ragtutorial #ragfullcourse #simplilearn #2026 ➡️ 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. Key Features ✅ Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Program completion certificate from Purdue University Online and Simplilearn ✅ 70+ hours of live, instructor-led training with industry experts ✅ Hands-on learning with 7+ real-world projects and a capstone project ✅ Master in-demand skills like LLM fine-tuning, prompt engineering, and AI governance ✅ Gain expertise with cutting-edge tools such as ChatGPT, Azure AI Studio, and LangChain ✅ Comprehensive curriculum covering AI Literacy, Agentic Frameworks, and Generative AI ✅ Access to Purdue's prestigious alumni network ✅ Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Course completion certificate hosted on the Microsoft Learn portal for Microsoft courses ✅ Learn with a diverse cohort of professionals from industries like IT, banking, and education Skills Covered ✅ Python Programming ✅ Prompt Engineering ✅ AI Literacy ✅ Generative AI Fundamentals ✅ Large Language Model LLM Architecture ✅ Agentic AI and Autonomous AI Agents ✅ LangChain for Workflow Design ✅ Retrieval Augmented Generation RAG ✅ LLM Fine Tuning and Customization ✅ Stable Diffusion ✅ Explainable AI ✅ Variational Autoencoders VAEs ✅ Transformers and Attention Mechanism ✅ GenAI Application Development ✅ LLM Benchmarking and Evaluation ✅ Generative AI Governance and Ethics 👉 Enroll Now: https://www.simplilearn.com/applied-ai-course?utm_campaign=HkUs8mb0k3s&utm_medium=Description&utm_source=Youtube 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688