AI Glossary Term

What does “Semantic Search” mean?

Definition

Search that matches meaning rather than exact keyword overlap, often using embeddings.

How Semantic Search works

Diagram for Semantic Search comparing Keyword search (Query: 'car won't start', Finds pages with those exact words) versus Semantic search (Same query, Also finds 'engine fails to turn over').Keyword searchQuery: 'car won'tstart'Finds pages withthose exact wordsSemantic searchSame queryAlso finds 'enginefails to turn over'vs

Example

A user searches a help center for 'cancel my plan' and gets an article titled 'Ending your subscription', even though no words match. The system matched on meaning using embeddings.

Why it matters

Semantic search finds relevant results even when wording differs. It can also return near-misses, so many systems combine it with keyword search.

Common questions

How does it work?

Text is converted to embeddings, and the system returns items whose vectors are closest to the query's vector.

What are its weaknesses?

It can miss exact terms like product codes and sometimes returns loosely related items.

Semantic vs hybrid search?

Hybrid search blends semantic and keyword methods to get the benefits of both.

Learn more in our free guides

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See also