Semantic Search
Semantic Search
Semantic search looks for meaning, not only matching words, so it can find relevant information phrased differently.
Explained simply
Semantic search looks for meaning, not only matching words, so it can find relevant information phrased differently.
At a glance
- Category
- Data
- Difficulty
- Intermediate
- Introduced
- 2010s
Real example
A document search finds “car expenses” when you search for “vehicle costs.”
Why it matters
It gives you a clear way to understand where this idea fits in AI and how it affects the tools you use.
Timeline
The ideas behind Semantic Search begin developing.
Semantic Search becomes a recognised term or technique.
Research and practical applications increase.
Semantic Search becomes connected to newer AI systems and products.
Semantic Search remains relevant in the data area of AI.
Learn next
Continue with these connected terms:
Simple infographic
A quick visual way to understand Semantic Search.
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