Automated Literature Research Solutions
Auto-Deep-Research helps users to complete literature research efficiently by following the steps below:
- Environment Configuration:After installing Python 3.10+ and Docker, create a virtual environment using conda
conda create -n auto_deep_research python=3.10 - Tool Access:Cloning GitHub repositories
git clone https://github.com/HKUDS/Auto-Deep-Research.git - Model Selection:Configure API key in .env file, can choose OpenAI/Grok/Deepseek and other mainstream LLM models
- Executive Research:importation
auto deep-researchAfter typing the research topic directly, the system automatically performs the following process:- Web search engine to retrieve latest papers and technology blogs
- Social Media (Platform X) Data Scraping Expert Discussion
- Content analysis and structuring of literature
- Automatic generation of reports in Markdown format with citations
Advanced Tips:Upload local PDF documents--file_path ./my_paper.pdfIt could be included in the analysis, resulting in a synthesis report.
This answer comes from the articleAuto-Deep-Research: Multi-Agent Collaboration to Execute Literature Queries and Generate Research ReportsThe
May not be reproduced without permission:AI productivity tools " How to solve the time-consuming and labor-intensive problem of manual literature research?
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