This project is a full-stack application designed to manage and search research papers using advanced vector search capabilities. The system is divided into two parts: the backend, which is built using Node.js and Express.js, and the frontend, which is developed using Angular.
- Backend Folder:
backend-research
- Frontend Folder:
frontend
An .env
file has been sent to the hackathon judges via email:
- To:
[email protected]
- From:
[email protected]
Please place the provided .env
file in the backend-research
folder.
It was also submitted with the project submission at 'Upload a File'.
Navigate to the backend-research
folder and run the following commands:
cd backend-research
npm install
npm start
Navigate to the frontend
folder and run the following commands:
cd frontend
npm install
ng serve
The frontend will be running on http://localhost:4200.
Vector Search for Research Papers: Advanced vector-based search engine for finding similar research papers. Responsive Frontend: Built with Angular for an intuitive user experience.
- Ensure the .env file is correctly placed in the backend-research folder.
- Start the backend server using npm start.
- Start the frontend using ng serve.
- Access the application through your browser at http://localhost:4200
- Search for a terms like superconnectivity, superconductors, artificial intelligence or more
-
Backend
- Node.js
- Express.js
- MySQL (TiDB)
-
Frontend
- Angular
- Angular CLI