II-Researcher's multi-step reasoning is one of its core capabilities and offers the following key benefits:
Ability to deal with complex issues:It can break down complex problems into multiple sub-questions, and analyze and answer them step by step. For example, when dealing with the problem of "advantages and disadvantages of AI in education", which needs to be analyzed from multiple perspectives, the system will reason from multiple dimensions, such as technical implementation, application scenarios, and effect evaluation.
Logical rigor:Each reasoning step has a clear basis and logical relationship, and users can see the complete chain of reasoning to ensure the credibility of the conclusion.
Real-time interaction:Use the -stream argument to view the inference process in real time. for example:
python cli.py --question "AI在教育中的优缺点" --use-reasoning --stream
Model Flexibility:Different AI models can be selected based on the complexity of the problem, with lightweight models (e.g. gemini-lite) for simple problems and more powerful models (e.g. gpt-4o) for complex reasoning.
This step-by-step reasoning is particularly suitable for scenarios that require in-depth analysis, such as academic research, market analysis, etc., and can help users obtain more comprehensive and reliable conclusions than simple searches.
This answer comes from the articleII-Researcher: Deep Search and Stepwise Reasoning to Answer Complex QuestionsThe