Semantic Search
Definition
Semantic search finds matching content based on its meaning, even without exactly matching search terms.
A search approach that uses semantic representations, entities, relationships, or learned relevance signals to find suitable results even without exact word matches. It can complement lexical search.
Simply explained
You search for “car repair” and also find a relevant text about vehicle maintenance.
Why it matters in practice
The term improves reliable access to data and knowledge as well as their usable linkage in digital systems.
Example from business
“Expense report” finds a policy with the wording “submit expenses.”
Limits and pitfalls
- Equating semantic search with pure vector search, completely replacing lexical signals, ignoring permissions, or treating embedding similarity as a relevance guarantee.
Origin & history
Semantic search evolved from information retrieval, ontologies, and neural representations.
Use in mid-sized companies
- Possible application: “Expense report” finds a policy with the wording “submit expenses.”
Frequently asked questions
What does Semantic Search mean?
A search approach that uses semantic representations, entities, relationships, or learned relevance signals to find suitable results even without exact word matches. It can complement lexical search. What mistakes should be avoided? Equating semantic search with pure vector search, completely replacing lexical signals, ignoring permissions, or treating embedding similarity as a relevance guarantee.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: