InsightGraph

Welcome to our project submission for the LLMs for Chemistry and Materials Science Heckatlon that took place on March 29th, 2023.

Overview

Our project aims to create a simplified knowledge graph from article abstacts to discover concepts and relevant articles. During the hackathon, we were able to design a web application that automatically extracts entities and relationships from material-science abstracts using a pre-defined schema.. You can find our video submission here: https://twitter.com/DCirci/status/1641486022709059585?s=20.

How to use

Installation

Clone the repo

git clone https://github.com/github_username/repo_name.git

Install the packages
```
pip install -r requirements.txt
```
Specify authentication details in config.py
```
openai_api_key = "openai_api_key"
neo4j_uri = "neo4j_uri"
neo4j_username = "neo4j_username"
neo4j_password = "neo4j_password"
```
Get Neo4j credentials by first creating a user account, and then creating a free instance. On creation of an instance, you will be prompted to download authentication details containing uri, username and password.

Run
```
streamlit run app.py
```
To view and interact with the results on Neo4j Browser, you will be asked to authenticate with your credentials again (see config.py)

Contributing

We are still working on developing our project and would greatly appreciate your feedback and contributions.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

If you have any questions or comments, feel free to reach out to us at defne.circi@duke.edu.

Thank you for taking the time to check out our project!