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Overview: Cost-effective embedding model with excellent performance for general-purpose applications.

Key Features:

  • 1536 dimensions by default (adjustable via 'dimensions' parameter)
  • Maximum input tokens: 8,192
  • Cost-effective alternative to the large model
  • Improved efficiency compared to ada-002
  • Excellent performance on general vector search tasks

Use Cases:

  • Production-scale vector search
  • Cost-sensitive applications
  • Content categorization
  • Recommendation systems
  • General similarity matching
Still have questions?Reach out to our founders anytime.

Frequently Asked Questions

ActionFlow supports a wide range of AI models, including: - OpenAI - Anthropic Claude - Amazon Bedrock - Meta AI - Google Generative AI (Gemini) - Mistral - ElevenLabs - Replicate And many more.

Yes! One of ActionFlow's key strengths is the ability to combine and orchestrate multiple AI models within a single workflow.

Our platform provides guidance and recommendations based on your specific use case, helping you select the most appropriate AI model.

Yes, ActionFlow is compatible with various open-source and proprietary AI models, giving you flexibility in your workflow design.

We continuously update our model integrations to ensure you have access to the latest AI capabilities and improvements.

ActionFlow provides comparative analytics to help you understand the performance and capabilities of different AI models.

Our pricing tiers offer different levels of AI model access, with the Enterprise tier providing the most comprehensive options.

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