Query Embeddings
Definition
Query embeddings make the meaning of a search query computationally comparable.
Vector representations of search queries that map their semantic features for similarity search or ranking.
Simply explained
The question receives a numerical description that is compared with the descriptions of possible matches.
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
The query "apply for vacation" is compared with similarly intended policy passages.
Limits and pitfalls
- Mixing query and document vectors from incompatible models or judging quality solely by cosine similarity.
Origin & history
Neural language models made dense query vectors a common component of semantic search.
Use in mid-sized companies
- Possible application: The query "apply for vacation" is compared with similarly intended policy passages.
Frequently asked questions
What does embeddings of search queries mean?
Vector representations of search queries that map their semantic features for similarity search or ranking. Which mistakes should be avoided? Mixing query and document vectors from incompatible models or judging quality solely by cosine similarity.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: