RAG Explained: How to Build Next-Level AI Agents

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In this video, I break down the process of RAG (Retrieval, Augment, Generation) and how it underpins some of the most powerful AI Agents today. By the end of the video you'll have a strong grasp on what RAG actually is, the benefits of it, how vector databases make it all possible (and how they work), and you'll be ready to start building your own powerful RAG AI Agents!

TIMESTAMPS
00:00 Introduction
00.28 What is RAG?
01:05 Benefits of RAG
02:52 How does RAG work?
03:40 What are Vector Databases?
04:43 Vector Embeddings
05:17 Vector Indexing
05:47 RAG Example
06:31 n8n RAG AI Agents
07:32 Use Cases for RAG AI Agents
09:37 Final Thoughts