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AI Glossary / Embedding
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Embedding

Converting text to numbers, so AI understands meaning and word similarity. The foundation of search and RAG.

An embedding is a representation of text (or image) as a long vector of numbers, arranged so that content with similar meaning has similar vectors. "Dog" and "puppy" land close together, "dog" and "radiator" far apart - regardless of whether they share any letters. This is the foundation of semantic search: instead of searching by keywords, you compare meanings. Embeddings underpin RAG, recommendation systems, duplicate detection, and content clustering.

Related concepts
Vector databaseRAGNLP

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