✍️ writing

Shandu

An AI-driven research system that enables comprehensive iterative research using multiple search engines and LLMs.

#content creation
#academic research
#market analysis
#AI research
#Multi-source information synthesis
#Intelligent crawler
Shandu

Product Details

Shandu is an AI-based research system capable of generating comprehensive research reports through multi-source information synthesis and in-depth iterative exploration. It uses advanced language models and intelligent web crawler technology to automatically complete the entire process from question clarification to content analysis. Its main advantages include efficient information integration capabilities, flexible multi-source data processing, and powerful knowledge synthesis capabilities. This product is suitable for scenarios that require rapid generation of high-quality research reports, such as academic research, market intelligence analysis, and technology exploration. Currently, the product is an open source project, and users can customize and expand it according to their needs.

Main Features

1
Supports comprehensive research across multiple search engines and knowledge bases
2
Implementing structured research processes through LangGraph
3
Explore topics recursively and dynamically adjust research depth and breadth
4
Intelligent assessment of credibility and relevance of information sources
5
Generate structured reports and support multiple citation formats
6
Support multi-thread processing to improve research efficiency
7
LLM models can be customized to meet different needs
8
Provide detailed user interaction and progress feedback

How to Use

1
1. Install Shandu: via PyPI or from source.
2
2. Configure API settings: supports multiple LLM providers.
3
3. Run the research command: specify the research question, depth, breadth, and output format.
4
4. View or save results: output in Markdown, JSON or plain text format.
5
5. Use Python API for advanced customization: call Shandu’s functions through code.

Target Users

Shandu is suitable for users who need to conduct in-depth research, such as academics, market analysts, content creators and technical researchers. It can help users quickly generate high-quality research reports, saving time and energy while ensuring the accuracy and comprehensiveness of information.

Examples

Generate global trend analysis report on Renewable Energy Storage Technologies (2020-2025)

Analyze industry-specific market trends and competitor strategies

Generate literature reviews and background information for academic papers

Quick Access

Visit Website →

Categories

✍️ writing
› research tools
› AI information platform

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