How Embeddings Work in RAG | AI Engineer Interview Question

Description

How do RAG systems understand what you're searching for? The answer is embeddings. In this video, I explain embeddings with a simple analogy and show you how to choose the right embedding model. 🔑 What You'll Learn: - What embeddings are (GPS analogy) - How semantic similarity works - Why keyword search fails and embeddings succeed - 4 factors for choosing embedding models: benchmark, dimensions, max tokens, cost 📊 Models Mentioned: - text-embedding-3-large (high accuracy) - text-embedding-3-small (best value for production) - MTEB leaderboard for benchmarks 📚 RAG Series: - Video 1: What is RAG - Video 2: RAG System with 89% Accuracy - Video 3: Chunking Strategy - Video 4: Embeddings Explained (this video) #Embeddings #RAG #MachineLearning #MLInterview #AIEngineer #VectorSearch #LLM #NLP