Embeddingi so numerični vektorski prikazi podatkov (besedilo, slike itn.), ki zajamejo semantični pomen — podobne predmete postavijo blizu skupaj v vektorski prostor. So temeljni za sodobni AI, omogočajo semantično iskanje, priporočila in RAG.
Kaj so embeddingi
EMBEDDING → a VECTOR (list of numbers) representing data (a word, sentence, image, etc.):
→ captures MEANING → semantically similar items have SIMILAR vectors (close in vector space)
→ e.g. 'king' and 'queen' have similar embeddings; 'cat' and 'dog' are closer than
'cat' and 'car'
→ produced by models (embedding models) that learn meaningful representations
→ turns data into numbers that capture semantic meaning (meaning as geometry)
