Nomic Embed
Open embedding model with an auditable training set and long context.
Обзор
Nomic Embed is an open embedding model released with an open training dataset and reproducible training run, as well as long-context support. It solves two problems at once: most open embedding models publish weights but not the data they were trained on, which makes their behaviour hard to reason about, and most cap inputs short of a document. It exists because an embedding model whose training data is inspectable can be evaluated for the biases that come from that data.
Граф технологий
Как Nomic Embed связана с остальным стеком.
Применяется к
- RAG technique Techniques Nomic Embed used for RAG High ✓ source
Альтернативы
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BGE
model
Альтернатива для Nomic Embed · source
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Cohere Embed
model
Альтернатива для Nomic Embed · source
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E5
model
Альтернатива для Nomic Embed · source
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GTE
model
Альтернатива для Nomic Embed · source
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Instructor
model
Альтернатива для Nomic Embed · source
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Jina Embeddings
model
Альтернатива для Nomic Embed · source
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OpenAI Text Embedding 3
model
Альтернатива для Nomic Embed · source
Сравнения
Подробные сопоставления с альтернативами выше.