https://github.com/the-swarm-corporation/research-paper-hive
Discover and engage with the research that truly matters to you, all in a fraction of the time.
https://github.com/the-swarm-corporation/research-paper-hive
Last synced: 4 months ago
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Discover and engage with the research that truly matters to you, all in a fraction of the time.
- Host: GitHub
- URL: https://github.com/the-swarm-corporation/research-paper-hive
- Owner: The-Swarm-Corporation
- License: mit
- Created: 2024-09-12T15:24:10.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-11T18:35:01.000Z (11 months ago)
- Last Synced: 2024-11-14T23:25:31.936Z (11 months ago)
- Language: Python
- Homepage: https://discord.com/servers/agora-999382051935506503
- Size: 2.18 MB
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
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README
# Research-Paper-Hive
[](https://discord.gg/agora-999382051935506503) [](https://www.youtube.com/@kyegomez3242) [](https://www.linkedin.com/in/kye-g-38759a207/) [](https://x.com/kyegomezb)
**Research-Paper-Hive** is an intelligent AI-powered application that helps you find and summarize research papers based on your preferences. Whether you're diving into a new research area or looking for papers tailored to specific topics, Research-Paper-Hive uses a swarm of AI agents to streamline your workflow by searching, analyzing, and summarizing relevant research papers for you.
## Features
- **Personalized Paper Search**: Input your preferences such as keywords, topics, or research fields, and Research-Paper-Hive will find relevant papers.
- **AI-Powered Summaries**: Agents collaborate to summarize each paper, providing you with concise and informative overviews.
- **Fast and Efficient**: With the power of swarm intelligence, Research-Paper-Hive processes and delivers results quickly.
- **Customizable Search Criteria**: Tailor your search by adjusting the specificity of your preferences.
- **Paper Ranking**: Get a ranked list of papers that are most aligned with your research interests.
## How It Works
1. **Input Preferences**: Provide Research-Paper-Hive with your specific preferences such as topics, keywords, or desired research fields.
2. **Agent Search**: A swarm of AI agents will search through academic databases to find the most relevant papers.
3. **Summarization**: Once papers are found, each agent works to generate concise summaries.
4. **Review and Download**: Review the summarized papers, ranked by relevance, and download the ones you need.
## Getting Started
### Prerequisites
Ensure you have the following installed:
- Python 3.10
- Required dependencies from `requirements.txt`
### Installation
```bash
$ pip3 install -U rph
```
### API Keys Setup
MedInsight Pro requires access to the OpenAI API, PubMed, and Semantic Scholar APIs. You’ll need to set up environment variables for these keys in your .env file:
```bash
OPENAI_API_KEY="your-openai-api-key"
WORKSPACE_ID="your-workspace-id" # Your workspace ID
```
### Usage
```python
from rph.agent import summarize_papers
if __name__ == "__main__":
summary = summarize_papers()
print(summary)
```
## Contributing
Contributions are welcome! Please follow these steps:
1. Fork the repository.
2. Create a new branch (`git checkout -b feature-branch`).
3. Commit your changes (`git commit -m 'Add new feature'`).
4. Push to the branch (`git push origin feature-branch`).
5. Open a pull request.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.