Natural-language search
Users begin with the words that make sense to them, rather than a constrained lookup pattern.
Oracle product demonstration / Semantic search
This Oracle demonstration shows AI Vector Search in Oracle Database 23ai powering semantic search in an Oracle APEX image library. A city query can surface relevant results even when it uses an alternate city name.
Embedded from Oracle’s YouTube channel. This is a product feature demonstration, not a standalone live product or customer deployment.
01 / The feature
The public demo uses an image library to show semantic retrieval: a search for a city can return relevant images when the user’s wording uses another name for the same place.
02 / Demonstrated flow
Start with a city-focused search in the APEX image library.
AI Vector Search compares the query with indexed content by similarity.
Relevant results can appear across alternate city names and related language.
The search experience stays inside the Oracle APEX application surface.
03 / Watch the demonstration
04 / Capabilities demonstrated
Users begin with the words that make sense to them, rather than a constrained lookup pattern.
AI Vector Search helps rank content by semantic relevance for the query.
The example shows how relevant results can bridge variations in city naming.
The demonstration keeps the search experience in an Oracle APEX application.
05 / Product context
This Oracle product demonstration is included as technical product proof: it makes a semantic-search capability tangible through one compact, understandable use case.