Cohere Embed
Hosted multilingual embedding model with separate query and document modes.
Visão geral
Cohere Embed is a hosted embedding model that distinguishes the query from the document being indexed, and supports a hundred languages in one model. It solves the asymmetry problem explicitly: a question and a passage are not the same kind of text, and encoding them with the same mode is a compromise. It exists because multilingual retrieval otherwise means either a separate model per language or one model doing all of them badly.
Grafo de tecnologias
Como Cohere Embed se liga ao resto do stack.
Aplicado a
- AI Search application Applications Cohere Embed used for AI Search High ✓ source
- RAG technique Techniques Cohere Embed used for RAG High ✓ source
Ferramentas
Software que implementa ou se integra com Cohere Embed.
LLM Frameworks
Alternativas
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BGE
model
Uma alternativa a Cohere Embed · source
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E5
model
Uma alternativa a Cohere Embed · source
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GTE
model
Uma alternativa a Cohere Embed · source
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Instructor
model
Uma alternativa a Cohere Embed · source
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Jina Embeddings
model
Uma alternativa a Cohere Embed · source
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Nomic Embed
model
Uma alternativa a Cohere Embed · source
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OpenAI Text Embedding 3
model
Uma alternativa a Cohere Embed · source
Comparações
Comparações detalhadas com as alternativas acima.