What is RAG in AI? RAG, AI, LLms, Vectors and Embeddings Concept Explained in Very Simple terms

In this video, we’ll dive deep into the concepts of RAG(Retrieval-Augmented Generation) and its essential components:
✅ LLMs (Large Language Models)
✅Embeddings
✅ Vectors
✅ Database (DB) Concepts

This video breaks down how RAG works, why it’s a game-changer for AI applications, and how you can leverage it in real-world scenarios. Whether you’re a machine learning enthusiast, developer, or AI researcher, this video has something valuable for you.

We’ll explore:
🔹 What is RAG (Retrieval-Augmented Generation)?
🔹 The role of LLMs in RAG-based architectures.
🔹 How embeddings and vectors power semantic search.
🔹 Practical examples and use cases for RAG in AI systems.

By the end of this video, you'll have a basic understanding of how RAG operates, and how it enhances AI performance.

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Видео What is RAG in AI? RAG, AI, LLms, Vectors and Embeddings Concept Explained in Very Simple terms канала Anshuman Parmar