Titan Embed Text V2
Bedrock
amazon/titan-embed-text-v2
Text embedding model
Context Window
8K
8,192 tokens
Max Output
—
About this model
Amazon Titan Embed Text V2, 1024-dim, flexible dimensions
Access it through Chuizi.AI with a single ck- API key — no separate Amazon account needed.
Highlights
Semantic similarity
Efficient encoding
Multilingual support
Best For
Semantic searchRAG pipelinesContent clusteringRecommendation systems
2024-04-30
Capabilities
Embedding
Aliases
titan-embed-text-v2Pricing (per 1M tokens)
| Pricing (per 1M tokens) | / 1M tokens |
|---|---|
| Input / 1M | $0.21 |
| Output / 1M | $0.0000 |
Final prices shown
Quick Start
main.py
from openai import OpenAI client = OpenAI( base_url="https://api.chuizi.ai/v1", api_key="ck-your-key-here", ) response = client.embeddings.create( model="amazon/titan-embed-text-v2", input="Hello, world!", ) print(response.data[0].embedding[:5]) # First 5 dimensions