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Communicationtext-embedding-3-large
Sentiment Analyzer Using text-embedding-3-large
Optimized prompts and cost breakdowns for running sentiment analyzer with text-embedding-3-large.
About text-embedding-3-large
- Provider
- openai
- Context Window
- 8K tokens
- Input Cost
- $0.13 / 1M tokens
- Output Cost
- N/A
Best For
High-quality RAG3072 dimensionsAccuracy-critical
Optimized Prompts for text-embedding-3-large
These prompts are tailored to work best with text-embedding-3-large's capabilities
analyze
Analyze the sentiment of this text. Provide:
1. Overall sentiment (Positive/Negative/Neutral) with score 0-100
2. Emotional indicators (frustrated, happy, confused, etc.)
3. Key phrases driving the sentiment
4. Any urgency indicators
Text:
{{content}}Cost Breakdown
Estimated costs for running this workflow with text-embedding-3-large
- input tokens
- ~889 tokens
- output tokens
- ~586 tokens
- cost per request
- $0.0473
- monthly 1000 requests
- $2.00
Rate Limiting Considerations
Openai has rate limits of approximately 8083 RPM. Consider implementing request queuing for high-volume usage.
Monitoring with Administrate
Track text-embedding-3-large API latency and error rates. Set up alerts for rate limit warnings and cost thresholds.