Cohere Embed
Hosted multilingual embedding model with separate query and document modes.
Resumen
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 tecnologías
Cómo se conecta Cohere Embed con el resto del 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
Herramientas
Software que implementa o se integra con Cohere Embed.
LLM Frameworks
Alternativas
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BGE
model
Una alternativa a Cohere Embed · source
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E5
model
Una alternativa a Cohere Embed · source
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GTE
model
Una alternativa a Cohere Embed · source
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Instructor
model
Una alternativa a Cohere Embed · source
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Jina Embeddings
model
Una alternativa a Cohere Embed · source
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Nomic Embed
model
Una alternativa a Cohere Embed · source
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OpenAI Text Embedding 3
model
Una alternativa a Cohere Embed · source
Comparativas
Comparativas detalladas con las alternativas anteriores.