Background
The structural soundness of the study has a direct impact on readability and professionalism, and manual planning is time-consuming and difficult to systematize.
core element
Take advantage of Open Deep Research's planning phase:
- pre-structural planning: The system first generates a full report outline for validation
- Multi-model selection: structural soundness can be assessed using different inference models such as DeepSeek, GPT, etc.
- Real-time adjustment mechanism
- Customized Template Support: Individualized structure design via report_structure parameter
best practice
- Select an advanced planning model such as Groq or DeepSeek in planner_provider
- Feedback on structural issues after initial generation using Command(resume="Adjustment Suggestion")
- Pre-built industry-specific structure templates via report_structure parameter
- Intuitively view and modify report frames in conjunction with the LangGraph Studio UI
Summary points
The system systematizes and visualizes the report structure planning process, ensuring a clear logical hierarchy of final outputs.
This answer comes from the articleOpen Deep Research: LangChain's Open Source Intelligent Assistant for Deep ResearchThe
May not be reproduced without permission:AI productivity tools " How to optimize the logical structure of a research paper?
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