GTE
Embedding model family from Alibaba, trained for retrieval and ranking.
Resumen
GTE is a family of text embedding models trained for retrieval, with variants covering English and multilingual use and long inputs. It solves the same problem as the other retrieval-focused embedding families: a general-purpose encoder is not optimised for the asymmetric comparison of a short query against a long document. It exists because retrieval quality is decided at the embedding step, and a family that scores well on public retrieval benchmarks is the cheapest way to improve everything downstream.
Grafo de tecnologías
Cómo se conecta GTE con el resto del stack.
Alternativas
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BGE
model
Una alternativa a GTE · source
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Cohere Embed
model
Una alternativa a GTE · source
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E5
model
Una alternativa a GTE · source
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Instructor
model
Una alternativa a GTE · source
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Jina Embeddings
model
Una alternativa a GTE · source
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Nomic Embed
model
Una alternativa a GTE · source
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OpenAI Text Embedding 3
model
Una alternativa a GTE · source
Comparativas
Comparativas detalladas con las alternativas anteriores.