Embeddings & Vector Databases Explained

Embeddings turn meaning into math. Vector databases make that math searchable at scale. If you're building anything with AI — semantic search, RAG applications, chatbots, or recommendations — embeddings and vector databases are the foundation. This video breaks down both concepts visually without complex math. **What you'll learn:** - What embeddings actually are (and the famous "King − Man + Woman = Queen") - How vector databases make similarity search fast - HNSW algorithm explained - A comon mistake that causes silent failures (mixing embedding models) - Real-world applications: RAG, se…