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Google: gemini-embedding-001:free
gemini-embedding-001:free
2K contesto2.0K outputembedding
Rilasciato May 20, 2025Aggiornato Jun 18, 2026
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.
Modalità embeddingDeprecazione May 2028
Prezzi
Prezzo di input
$0.00/ 1 M token
Prezzo di output
$0.00/ 1 M token
Finestra di contesto 2K tokenEndpoint compatibili openai, embeddingProvider Google
Disponibilità
Performance
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Utilizzo e classifica
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