What is an embedding?

A clear, technical intro to embeddings — what a vector representation is, how text becomes a list of numbers that captures meaning, and why semantic search and RAG are built on this. ▶ Watch the full series in order: https://www.youtube.com/playlist?list=PL3k41AsXtY9vSBXqvUU7T_QIfV1SZN5NT 📚 New here? Start at episode 1: https://www.youtube.com/watch?v=GsKplQ_5Pak Concept Stack — one AI concept a day, each one stacks on the last. We're building the framework for AI, together. Subscribe: https://www.youtube.com/@conceptstackai Chapters: 0:00 Hook 0:31 From tokens to vectors 1:11 What an embedding looks like 1:54 Similarity becomes geometry 2:44 Meaning becomes math 3:28 What embeddings are used for 4:13 RAG — the killer app 5:05 Where embeddings come from 5:51 Things that trip people up 6:52 Hybrid search — the standard fix 7:55 Why embeddings matter 8:31 Outro