What is RAG? Retrieval-Augmented Generation Explained in 15 Mins

What is Retrieval-Augmented Generation (RAG) and how does it work? Today, we will explore this technology in detail. In this video, we will break down the concept of Retrieval-Augmented Generation in simple terms. You will learn how RAG connects AI models to external data sources to deliver more accurate answers. We will also clarify the difference between closed models and RAG, helping you understand why this technology is so crucial in AI development. We will discuss the data preparation process, along with how Data Embedding and Vector Databases work. Through a simple diagram, we will walk through the entire process step-by-step so you can understand how AI searches for and processes the right information. ------------------------------------------------------------------------------------------------------------------------------------------------------- Chapters: 0:00 Why LLMs Struggle with Private Data 3:01 Defining Retrieval Augmented Generation 7:04 The Mechanics of the RAG Process 9:38 Breaking Down Data into Chunks 12:27 Connecting User Queries to Vector Search Subscribe to the channel for more AI learning and coding projects. Let us know in the comments which topic you would like to see in the next video! you can also follow me on my social media handlegive me--- Instagram--   / pace_edutech   #RAG #ArtificialIntelligence #GenerativeAI #MachineLearning #LLM #VectorDatabase #TechTutorial #Python #Coding