DeepResearch's automated research process is organized into four core phases:
- Problem decomposition phase::
- The system first parses the research question entered by the user
- Automatic generation of research plans containing sub-problems
- Prioritize and orient data collection
- Data collection phase::
- Incorporate search engines for up-to-date web information
- Extract key content through web crawling technology
- Typically performs 3-5 iterative searches
- Analysis and optimization phase::
- Reorientation of research after each iteration
- Large language models for analyzing and processing data
- Display intermediate results for user reference
- Report generation phase::
- Integration of all research data
- Generate structured analysis reports
- Include cited sources and summarize conclusions
The entire process can be observed in real-time progress in the web interface, and users can interrupt or redirect their research at any time. The final report supports export to PDF/Markdown format, and all cited sources are clearly labeled for verification.
This answer comes from the articleDeepResearch: a fully open source AI assistant for automated deep researchThe
May not be reproduced without permission:AI productivity tools " What is the exact process of conducting deep research at DeepResearch?
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