Definition
Semantic search reads the meaning and intent behind a query rather than just matching keywords, using context, synonyms, and the relationships between concepts. It is foundational to how AI engines connect content to conversational questions.
On this page
At a glance
- Categories Technical
- Related fields AI Search, Technical
- Difficulty Intermediate
How Semantic Search Works
Keyword search hunts for the exact words. Semantic search asks what you actually mean. It understands that "shoes for flat feet" and "footwear for fallen arches" are after the same thing, and it matches content by concept instead of by literal text.
Why Semantic Search Matters
Because AI engines work semantically, your content no longer has to contain a query word for word to match it. Write clearly about a concept, in natural language, and you can match a whole range of related questions. That is a very different game from chasing exact keywords.
Frequently Asked Questions
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How is it different from keyword search?
Keyword search matches words. Semantic search matches meaning, so it can connect a query to content that never uses the exact terms.
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What powers it?
Techniques like vector embeddings that turn meaning into numbers, so similar concepts sit close together.