Google: gemini-embedding-001:free
gemini-embedding-001:free
2K contexto2.0K salidaHerramientas
Lanzado May 20, 2025Actualizado May 20, 2025
The first professional text embedding model in the Google Gemini family. Utilizing Matryoshka Representation Learning (MRL), it allows developers to flexibly adjust output dimensions. It excels in multilingual support (100+ languages) and long-context retrieval, serving as a core component for RAG systems and semantic search.
Modo embedding
Precios
Precio de entrada
$0.00/ 1 M tokens
Precio de salida
$0.00/ 1 M tokens
Ventana de contexto 2K tokensEndpoints compatibles embeddingProveedor Google
Rendimiento
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Uso y clasificación
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