Verified65% confidenceFactTime unknown
nomic-embed-text is an open-source embedding model that supports long-context input of up to 8,192 tokens
3
Sources
65%
Confidence
Long-term
Relevance
6/2/2026
First Seen
Sources
Related Entities
Related Claims
Unverifiednomic-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.76% similarUnverifiednomic-embed-text is an open-source text embedding model released by Nomic that can run locally, converting text into vectors for semantic search.73% similarUnverifiedA tokenizer is the underlying component through which a large language model processes text, responsible for splitting the raw string into a sequence of tokens the model can recognize and mapping them to integer IDs.67% similarUnverifiedFastText的字符级n-gram设计使其具备对拼写变体和未登录词（OOV）的处理能力，推理速度可达微秒级，模型体积极小67% similarUnverifiedEmbeddingGemma 2 is an open-source text embedding model that converts text into 768-dimensional vectors.67% similar
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