Verified80% confidenceFactTime unknown
嵌入模型将文本转换为高维向量时，通常生成768维或1536维的浮点数数组
6
Sources
80%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
Unverified现代嵌入模型（如sentence-transformers系列）通常输出768维或1536维的向量77% similarVerifiedOpenAI's text-embedding-3-small model converts text into a floating-point array of 1,536 dimensions74% similarUnverifiedEmbedding models convert text into fixed-dimensional floating-point vectors, placing semantically similar content closer together in the vector space, and serve as the core foundation of RAG technology.73% similar
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