Google: gemini-embedding-001
gemini-embedding-001
2K contexte2.0K sortieOutils
Publié May 20, 2025Mis à jour 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.
Mode embedding
Tarification
Prix en entrée
$0.11/ 1 M jetons$0.1528% de réduction
Prix en sortie
$0.11/ 1 M jetons$0.1528% de réduction
Fenêtre de contexte 2K jetonsPoints d'accès compatibles openai, geminiÉditeur Google
Performance
Chargement des performances...
Utilisation et classement
Chargement de l'utilisation...