ResearchGPT is a Python-based AI agent that streamlines the academic literature review process. It uses the Semantic Scholar and arXiv APIs to find relevant papers, downloads PDFs, extracts text and key findings, and leverages GPT-4 to generate concise, structured summaries. Users can customize search queries, set summarization prompts, and export results to markdown or PDF reports.
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ResearchGPT
ResearchGPT is a Python-based AI agent that streamlines the academic literature review process. It uses the Semantic Scholar and arXiv APIs to find relevant papers, downloads PDFs, extracts text and key findings, and leverages GPT-4 to generate concise, structured summaries. Users can customize search queries, set summarization prompts, and export results to markdown or PDF reports.
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What is ResearchGPT?
ResearchGPT automates end-to-end academic research workflows by integrating paper retrieval, PDF parsing, NLP-based text extraction, and GPT-4 powered summarization. Starting with a user-defined research topic, it queries Semantic Scholar and arXiv APIs to gather relevant papers, downloads and parses PDF content, and employs GPT-4 to distill key concepts, methodologies, and results. The agent compiles individual paper insights into a cohesive, structured report, supporting exports in Markdown or PDF formats. Advanced configuration options allow users to tailor search filters, define custom summarization prompts, and adjust output styles. By orchestrating these steps, ResearchGPT reduces manual effort, accelerates literature reviews, and ensures comprehensive coverage of academic sources.
Who will use ResearchGPT?
- Academic researchers
- Graduate students
- Research analysts
- R&D teams
How to use the ResearchGPT?
- step1: Install ResearchGPT via pip (`pip install researchgpt`) or clone the GitHub repository and install dependencies.
- step2: Configure your OpenAI API key (and optional Semantic Scholar API key) in the `config.json` file or as environment variables.
- step3: Run the CLI with your research topic (`researchgpt --topic "Your Topic Here"`).
- step4: Review generated summaries and structured report in the output folder (Markdown/PDF).
- step5: Customize prompts or queries by editing the configuration and re-run as needed.
Platform
- Linux
- Mac
- Windows
ResearchGPT's Core Features & Benefits
The Core Features
- Automated academic paper retrieval from Semantic Scholar and arXiv
- PDF downloading and text extraction
- GPT-4 powered paper summarization
- Customizable search queries and summarization prompts
- Structured report compilation and export (Markdown/PDF)
- Command-line interface for scripting and automation
The Benefits
- Saves time on manual literature reviews
- Ensures comprehensive coverage of relevant research
- Generates concise and coherent summaries
- Customizable output formats and styles
- Facilitates reproducible research workflows
- Scalable and scriptable via CLI
ResearchGPT's Main Use Cases & Applications
- Conducting systematic literature reviews in academia
- Market and competitor analysis in business research
- Rapid prototyping of research problem statements
- Automating technical due diligence
- Generating briefing documents for research proposals
FAQs of ResearchGPT
ResearchGPT Company Information
ResearchGPT Reviews
5/5
ResearchGPT's Main Competitors and alternatives?
Elicit
Iris.ai
Scholarcy
Consensus
Connected Papers
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