Semantic Search
Semantic search is an information retrieval approach that finds results based on the meaning of a query rather than exact keyword matches. It works by converting text into numerical vector representations (embeddings) and finding documents whose vectors are closest in meaning to the query vector. Semantic search powers modern RAG systems and AI-enhanced search engines.
Example
A traditional keyword search for "how to fix a flat tire" would miss a document titled "Changing a punctured tyre — step by step guide" because the words don't match. Semantic search understands these mean the same thing and returns the document with high relevance, because their embedding vectors are close together.
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