用于LangChain,自动化深度研究工作流程,快速生成详细报告,节省数小时的人工研究时间。通过手动触发,用户输入研究主题和深度,系统自动生成相关查询,收集数据并提炼出关键学习,最终将结果保存到Notion数据库。此流程支持多层次的查询与分析,确保全面覆盖研究需求,提升研究效率。
This workflow is designed for researchers, analysts, and professionals who need to conduct in-depth research efficiently. It is particularly useful for:
- Market Researchers: Who require comprehensive data on market trends and competitors.
- Academics: Looking for detailed literature reviews and analysis.
- Business Analysts: Who need to gather insights on various topics quickly.
- Content Creators: Seeking to produce well-researched articles or reports.
- Students: Who want to streamline their research processes for assignments or projects.
This workflow addresses the challenge of conducting extensive research in a time-efficient and cost-effective manner. Traditional research methods can take hours or even days, while this automated process can accomplish similar tasks in minutes. By utilizing AI and web scraping, it helps users gather relevant information, generate insights, and compile reports without manual intervention.
Users can customize this workflow by:
- Adjusting Depth and Breadth: Modify the depth and breadth values in the form to control the extent of research.
- Changing Data Sources: Integrate different web scraping services or APIs to gather data from preferred sources.
- Modifying Output Format: Customize the report format by changing the markdown structure or integrating other output formats like PDF.
- Adding Additional Nodes: Include additional processing nodes for further analysis or data manipulation as needed.
- Customizing AI Models: Swap out the AI models used for generating queries or insights to better fit specific research needs.