Unverified50% confidenceFactExact time
嵌入模型可将文本压缩为1536维或1024维的浮点向量，OpenAI的text-embedding-ada-002和Cohere的embed-multilingual是常见示例
1
Sources
50%
Confidence
Long-term
Relevance
7/17/2026
First Seen
Sources
Related Claims
VerifiedOpenAI's text-embedding-3-small model converts text into a floating-point array of 1,536 dimensions81% similarUnverifiedModern Embedding models (such as OpenAI's text-embedding-ada-002 and Alibaba's Qianwen Embedding series) can encode entire sentences or paragraphs into fixed-dimension dense vectors, typically 768 or 1024 dimensions.80% similarUnverifiedOpenAI's text-embedding-ada-002 can map text into a high-dimensional vector space, where semantically similar texts are closer together in the vector space.80% similar
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