⚙️ Under the hood
Embedding
embeddings, Embeddings
A list of numbers (a vector) representing the meaning of a word, sentence or document. Similar meanings sit close together.
💭 Imagine …
A map of meaning: “dog” and “cat” live in the same neighbourhood, “tax return” in another city entirely.
🔎 Example
Searching “holiday request” also finds “apply for leave”, though no word matches. Embeddings are often stored in a vector database.
🎯 Why it matters
Embeddings power semantic search and RAG.
🎓 Prefer step by step?
The AI Literacy course: 6 short modules with quizzes, a solid foundation in about 60 minutes.