AIRA (AI Research Assistant) is a Streamlit-based application designed to assist researchers in finding and organizing academic literature.
Citation: Vakilzadeh, H., and Wood, D. A. (2025). The Development of a RAG-Based Artificial Intelligence Research Assistant (AIRA). Journal of Information Systems. https://doi.org/10.2308/ISYS-2024-041
Note: If you use AIRA in your research, please cite our work using the citation provided above.
Online Version of the application is hosted at : AI Research Assistant
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Clone the repository:
git clone https://github.com/hamid-vakilzadeh/lit-review-assistant cd lit-review-assistant -
Install dependencies:
pip install -r requirements.txt
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Run the application:
streamlit run About.py
There is an MCP version of this application as well:
- MCP GitHub Repository: AIRA-SemanticScholar
- Smithery Installation: Smithery AIRA MCP Server
We welcome contributions to improve AIRA. Please feel free to submit issues, feature requests, or pull requests.
Please refer to the repository license file for usage terms and conditions.