II-Researcher's Intelligent Deep Search feature is realized in the following steps:
1. Question input:Users can enter questions via the command line or the web interface, for example:
python cli.py --question "AI如何改善教育质量？"
2. Search execution:Depending on the configuration, the system invokes a search service such as Tavily or SerpAPI to obtain relevant information from multiple sources.
3. Integration of results:The collected data is automatically organized and analyzed to remove redundant information.
4. Return of results:The end result is to present the user with search results that have been collated and optimized.
The features of this function include:
- Supports multiple search engines that can be switched as needed
- Ability to handle complex queries, suitable for academic research and technology development
- Search results are optimized for sorting and quality screening
- Can be used in conjunction with other features such as multi-step reasoning
This answer comes from the articleII-Researcher: Deep Search and Stepwise Reasoning to Answer Complex QuestionsThe
May not be reproduced without permission:AI productivity tools " How does II-Researcher's Intelligent Deep Search feature work?
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