OpenAI Text Embedding 3
Hosted embedding models with configurable output dimensions.
Visão geral
Text Embedding 3 is OpenAI's hosted embedding family, notable for letting the caller choose a shorter output vector than the model natively produces. It solves the storage problem directly: embedding indexes are sized by dimensions times vectors, so trimming 3072 dimensions to 512 or 256 shrinks the index substantially at a small quality cost. It exists because that trade is one the caller is better placed to make than the model author, and it removes the need to retrain to change it.
Grafo de tecnologias
Como OpenAI Text Embedding 3 se liga ao resto do stack.
Aplicado a
- RAG technique Techniques OpenAI Text Embedding 3 used for RAG High ✓ source
Ferramentas
Software que implementa ou se integra com OpenAI Text Embedding 3.
LLM Frameworks
Alternativas
-
BGE
model
Uma alternativa a OpenAI Text Embedding 3 · source
-
Cohere Embed
model
Uma alternativa a OpenAI Text Embedding 3 · source
-
E5
model
Uma alternativa a OpenAI Text Embedding 3 · source
-
GTE
model
Uma alternativa a OpenAI Text Embedding 3 · source
-
Instructor
model
Uma alternativa a OpenAI Text Embedding 3 · source
-
Jina Embeddings
model
Uma alternativa a OpenAI Text Embedding 3 · source
-
Nomic Embed
model
Uma alternativa a OpenAI Text Embedding 3 · source
Comparações
Comparações detalhadas com as alternativas acima.