Verified70% confidenceFactTime unknown
Semantically similar texts are also close in distance within vector space, which is the mathematical foundation of vector retrieval.
4
Sources
70%
Confidence
Long-term
Relevance
6/3/2026
First Seen
Sources
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Related Claims
UnverifiedVector retrieval is based on the semantic similarity of content, with vectors of more similar content being closer in mathematical space, rather than relying on keyword or filename matching78% similarVerifiedVector embedding is the process of transforming discrete text, code, or experiences into numerical vectors in a continuous high-dimensional space, so that semantically similar content is closer in vector space.77% similarVerifiedtext-embedding-ada-002 converts text into 1,536-dimensional dense vectors, with semantically similar texts being closer in distance in the vector space.74% similar
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