What is…
Embeddings
Lists of numbers that represent meaning — texts about similar things end up close together.
An embedding model turns a sentence, document or image into a vector (a long list of numbers). Similar meanings land near each other in that space: "How do I reset my password?" sits right next to "I forgot my login."
Embeddings power semantic search, recommendations, duplicate detection and — most importantly — RAG.
💡 Think of it like
A map where every idea has coordinates, and related ideas are neighbors.
🧠 Test yourself
Which of these describes Embeddings?
Related terms
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