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OpenSearch:List of supported services

Last Updated:Aug 05, 2025

The AI Search Open Platform is compatible with OpenAI interfaces. Developers can call services provided by the AI Search Open Platform through the OpenAI SDK.

Service category

Service description

Text embedding

  • OpenSearch Text Vectorization Service-001: Provides multilingual (40+) text vectorization service, with maximum input text length of 300 tokens and output vector dimension of 1536.

    ID: ops-text-embedding-001
  • OpenSearch General Text Vectorization Service-002: Provides multilingual (100+) text vectorization service, with maximum input text length of 8192 tokens and output vector dimension of 1024.

    ID: ops-text-embedding-002
  • OpenSearch Text Vectorization Service-Chinese-001: Provides Chinese text vectorization service, with maximum input text length of 1024 tokens and output vector dimension of 768.

    ID: ops-text-embedding-zh-001
  • OpenSearch Text Vectorization Service-English-001: Provides English text vectorization service, with maximum input text length of 512 tokens and output vector dimension of 768.

    ID: ops-text-embedding-en-001

Content generation service

  • OpenSearch-Qwen-Turbo: Uses qwen-turbo large language model as the foundation model, with supervised model fine-tuning, enhanced retrieval augmentation, and reduced harmfulness.

    ID: ops-qwen-turbo
  • Qwen-Turbo: The fastest and most cost-effective model in the Qwen series, suitable for simple tasks. For more information, see Qwen-Turbo.

    ID: qwen-turbo
  • Qwen-Plus: Balanced capabilities with inference effect, cost, and speed between Qwen-Max and Qwen-Turbo, suitable for moderately complex tasks. For more information, see Qwen-Plus.

    ID: qwen-plus
  • Qwen-Max: The best performing model in the Qwen series, suitable for complex, multi-step tasks. For more information, see Qwen-Max.

    ID: qwen-max
  • DeepSeek-R1: A large language model focused on complex reasoning tasks, with outstanding performance in complex instruction understanding and result accuracy.

    ID: deepseek-r1
  • DeepSeek-V3: An MoE model with excellent performance in long text, code, mathematics, encyclopedia, and Chinese language capabilities.

    ID: deepseek-v3
  • DeepSeek-R1-distill-qwen-7b: A model based on knowledge distillation technology, fine-tuned on Qwen-7B using training samples generated by DeepSeek-R1.

    ID: deepseek-r1-distill-qwen-7b
  • DeepSeek-R1-distill-qwen-14b: A model based on knowledge distillation technology, fine-tuned on Qwen-14B using training samples generated by DeepSeek-R1.

    ID: deepseek-r1-distill-qwen-14b