Unverified50% confidenceFactExact time
nomic-embed-text is an open-source text embedding model released by Nomic AI, designed specifically for RAG scenarios; it encodes text chunks into 768-dimensional vectors and supports a context window of up to 8,192 tokens.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
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Related Claims
Verifiednomic-embed-text is an open-source embedding model that supports long-context input of up to 8,192 tokens76% similarVerifiedOpenAI's text-embedding-3-small model converts text into a floating-point array of 1,536 dimensions69% similarVerifiedEmbedding 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.69% similarUnverified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68% 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.67% similar
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