Explain how vector embeddings work, like I’m 5 years old, in under 80 words.
Imagine every word is a tiny dot in a huge room. Words that mean similar things — like "cat" and "kitten" — stand close together. Words that are different — like "cat" and "rocket" — stand far apart. A computer places every word in this room by its meaning. Then, to find things that are alike, it just looks for dots that are near each other. That’s an embedding!
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