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Free-Search's application scenarios cover AI development to academic research

2025-08-28 1.4 K

Intelligent search solutions for multiple fields

Free-Search has been validated for three typical scenarios:

  • AI agent development: real-time knowledge updates for chatbots
  • LLM data augmentation: supplementing the external corpus for model training
  • Academic research assistance: rapid collection of literature from multiple sources

In terms of specific implementation, the intelligent crawler realized by the system through playwright can accurately identify the content of the body and exclude interfering information such as advertisements. For example, in the academic search scenario, the content extraction accuracy of academic platforms such as arXiv reaches 92%.

Practical examples show that when researching the topic of "climate change", using Free-Search can save 60% of data collection time because it can obtain structured data from multiple authoritative sources in parallel.

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