Model Details
Released
Jan 25, 2024
Where is Text Embedding 3-Large a perfect fit?
text-embedding-3-large is designed for high-accuracy semantic understanding, making it ideal for retrieval and similarity tasks. Ideal for:
- Semantic search engines and document retrieval systems
- Retrieval-augmented generation (RAG) pipelines
- Clustering and grouping similar content or users
- Recommendation systems based on similarity matching
- Duplicate detection and content filtering
- Knowledge base indexing and vector database storage
- Semantic search engines and document retrieval systems
- Retrieval-augmented generation (RAG) pipelines
- Clustering and grouping similar content or users
- Recommendation systems based on similarity matching
- Duplicate detection and content filtering
- Knowledge base indexing and vector database storage
Quick Model Estimate
Your Text Embedding 3-Large Cost Estimate
💰 Total Cost
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for 1000 input + 1000 output tokens
📥 Input (1000)
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📤 Output (1000)
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Cost Breakdown
📥 Input
📤 Output
Prices are watched for changes and checked against the provider's own page.
