Nomic Embed
Open embedding model with an auditable training set and long context.
Aperçu
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.
Graphe des technologies
Comment Nomic Embed se rattache au reste de la pile.
Appliqué à
- RAG technique Techniques Nomic Embed used for RAG High ✓ source
Alternatives
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BGE
model
Une alternative à Nomic Embed · source
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Cohere Embed
model
Une alternative à Nomic Embed · source
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E5
model
Une alternative à Nomic Embed · source
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GTE
model
Une alternative à Nomic Embed · source
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Instructor
model
Une alternative à Nomic Embed · source
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Jina Embeddings
model
Une alternative à Nomic Embed · source
-
OpenAI Text Embedding 3
model
Une alternative à Nomic Embed · source
Comparaisons
Comparaisons détaillées avec les alternatives ci-dessus.