deepsearch

You can generate a detailed research report by providing a complex topic to trigger a multi-round web-search workflow, which iteratively refines search topics and synthesizes findings into a structured final report using an LLM.

Iterative web-search driven analysis is a research workflow that performs multi-round searches across depth levels to synthesize up-to-date information. You need it when studying fast-evolving topics requiring structured conclusions and knowledge synthesis.

Yes, this deep research workflow operates as a non-executable blueprint, serving as a guide for external web-search and LLM skills to execute the research process in real environments without requiring installed scripts.

Yes, you need external web-search execution and an LLM for reasoning. The workflow coordinates inputs, iterations, and reporting as a description, requiring these external skills to execute the actual research process.

To start the multi-round web-search workflow, provide a research topic and specify the desired depth to begin gathering information across iterative search cycles and generate a final comprehensive report.

Iterative topic refinement distinguishes itself by gathering information across multiple depth levels and search cycles, using an LLM to synthesize findings into a comprehensive final report, unlike a single static web search.