What Are Embeddings?

About this video

Similar meaning = similar numbers. That's the entire idea. Embeddings are vector representations that capture semantic meaning—and they're the foundation of everything in modern search. What you'll learn: ⚡ What embeddings actually are (numbers that represent meaning) ⚡ Why embeddings matter (similar things → similar vectors) ⚡ Dense vs sparse embeddings (ColBERT vs SPLADE) ⚡ Embedding dimensions and what they represent ⚡ How 'refund request' and 'want my money back' map to nearly identical vectors