Vector Search
Vector Search
Vector search finds items whose embeddings are close together, which usually means their meaning is similar.
Explained simply
Vector search finds items whose embeddings are close together, which usually means their meaning is similar.
At a glance
- Category
- Data
- Difficulty
- Intermediate
- Introduced
- 2010s
Real example
A search finds articles about “job loss” when the query says “unemployment.”
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 Vector Search begin developing.
Vector Search becomes a recognised term or technique.
Research and practical applications increase.
Vector Search becomes connected to newer AI systems and products.
Vector Search remains relevant in the data area of AI.
Learn next
Continue with these connected terms:
Simple infographic
A quick visual way to understand Vector Search.
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