Day 3 | Tokenization Explained (Before Embeddings) | Vector Database Zero to Hero

Welcome to Day 3 of the Vector Databases – Zero to Hero series. Before any text becomes embeddings, there’s a hidden layer that every modern AI system depends on: 👉 Tokenization In this video, we break it down in the simplest way possible and connect it directly to the vector database pipeline. 🚀 What You’ll Learn What tokens actually are Why tokenization is required (models don’t understand text!) Why tokens ≠ words Types of tokenization: Word-level Character-level Subword (used in modern LLMs) How tokenization fits into the embedding pipeline