[KongchangAI]
Unverified60% confidenceFactExact time

Vector databases use embedding models (such as OpenAI's text-embedding-3-large or the open-source BGE-M3) to convert text into floating-point vectors of hundreds to thousands of dimensions, where vector distance corresponds to semantic similarity.

2
Sources
60%
Confidence
Long-term
Relevance
7/19/2026
First Seen

Sources

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