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Simon Willison 2023-08-31 16:58:02 -07:00 committed by GitHub
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docs/embeddings/index.md
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(embeddings)=
# Embeddings
Embedding models allow you to take a piece of text - a word, sentence, paragraph or even a whole articles, and convert that into an array of floating point numbers.
Embedding models allow you to take a piece of text - a word, sentence, paragraph or even a whole article, and convert that into an array of floating point numbers.
This floating point array is called an "embedding vector", and works as a numerical representation of the semantic meaning of the content in a many-multi-dimensional space.