Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Venice-Embedding-Modelle für semantische Suche, RAG-Retrieval und Clustering, inklusive Preise, Dimensionen und OpenAI-kompatibler /embeddings-Nutzung.
id-Wert als model-Parameter in API-Anfragen. Derzeit sind 9 Modelle verfügbar.| Model | ID | Input (pro 1M Tokens) | Privacy |
|---|---|---|---|
| BGE-EN-ICL | text-embedding-bge-en-icl | $0.01 | Private |
| BGE-M3 | text-embedding-bge-m3 | $0.15 | Private |
| Gemini Embedding 2 Preview | gemini-embedding-2-preview | $0.25 | Anonymized |
| Multilingual E5 Large Instruct | text-embedding-multilingual-e5-large-instruct | $0.01 | Private |
| Nemotron Embed VL 1B v2 | text-embedding-nemotron-embed-vl-1b-v2 | $0.01 | Private |
| Qwen3 Embedding 0.6B | text-embedding-qwen3-0-6b | $0.01 | Private |
| Qwen3 Embedding 8B | text-embedding-qwen3-8b | $0.01 | Private |
| Text Embedding 3 Large | text-embedding-3-large | $0.16 | Anonymized |
| Text Embedding 3 Small | text-embedding-3-small | $0.03 | Anonymized |
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