Glossary
What are Embeddings?
Embeddings are numeric vector representations of text or entities that capture semantic similarity.
Similar meanings sit close together in vector space – the basis for semantic search, clustering, and RAG. In SEO, embeddings help with duplicate detection and topic clusters. They do not replace editorial strategy, but make it scalable.
Related terms
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