From keywords to human moods with
Semantic Search

While keyword-based searches have long been the norm, they now struggle to deliver the expected result due to the limitations of literal keyword matching, and metadata available.

This is where traditional search engines encounter challenges, as they can only process the literal meaning of the words in the query.

UX Engine’s Semantic Search transforms this experience by going beyond keyword matching to interpret the actual meaning behind user requests, delivering results that align with both exact terms and broader concepts.

At the core of UX Engine’s Semantic Search is an advanced Large Language Model (LLM) that allows the engine to interpret and process natural language in a way that closely mirrors human understanding.

Instead of relying only on keyword matching, this advanced feature elaborates on the context and relationships between words, phrases, and concepts.

For example, when a user searches for “female warrior,” traditional search engines only deliver results containing those exact words. Semantic Search, in contrast, interprets the deeper meaning and related concepts, surfacing content like “strong female lead” or even “empowering heroine.”

This approach transcends the limitations of basic metadata matching, offering a truly dynamic and responsive search experience that feels intuitive and natural.

The technology is also multilingual, and capable of interpreting and delivering accurate results across different languages, making it a versatile tool for global audiences.