AI & Search Wiki Entry

Embeddings

Numerical representations of text used by AI systems to measure semantic similarity.

Embeddings convert words, sentences and documents into high-dimensional vectors where similar meanings produce similar vectors. AI search systems use embeddings to match queries with relevant content beyond exact keyword matching. Content optimised semantically rather than just lexically tends to perform better in embedding-based retrieval systems.

Related Entries

Semantic SEO

Optimising for meaning, context and entity relationships rather than exact keywords.

Retrieval Augmented Generation (RAG)

A technique combining retrieval from a knowledge base with LLM generation.

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