Embeddings convert words, sentences, or images into dense numerical vectors. Similar concepts end up close together in the vector space, enabling semantic search, recommendations, and clustering. Text embeddings power RAG systems, and image embeddings enable visual search. Popular embedding models include OpenAI's text-embedding and Cohere's embed models.
Embedding
A numerical representation of data (text, images) in a continuous vector space where similar items are close together.
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