A classic method for learning words as vectors.
Word2Vec is like watching the school cafeteria. Kids who sit together every day probably belong to the same crew.
It turns words into vectors, so computers can compare their distance. It powered semantic search. It also helped recommendations and early text tools.
Embedding
Word2Vec is a classic early form of Embedding.
Vector search
Word2Vec turns words into vectors, so Vector search can find similar meanings.
Neural-network
Word2Vec uses a shallow Neural-network to learn from words seen together.
BERT
BERT upgrades fixed word vectors by reading the surrounding words.