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# Knowledge Graph Builder
## Description
This project builds and queries knowledge graphs from Wikipedia articles using the LangChain library and OpenAI's language models, storing data in a Neo4j database.
## Features
- **Knowledge Graph Construction**: Build graphs from Wikipedia articles.
- **Graph-Based Querying**: Utilize graphs to answer queries with a Graph Cypher QA Chain.
- **Environment Flexibility**: Manages dependencies and environment variables through `.env` files.
## Prerequisites
- Python 3.8+
- pip and virtualenv (optional)
- Access to a Neo4j database
- OpenAI API key
- Extra change
## Installation
1. **Clone the repository**:
```bash
git clone [email protected]:Master-Thesis-Prakhar/GraphRAG
cd GraphRAG
```
2. **Set up a Python virtual environment (optional):**
```bash
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
```
3. **Install the required packages:**
```bash
pip install -r requirements.txt
```
4. **Set up your environment variables:**
- Copy the `.env.example` to `.env`:
```bash
cp .env.example .env
```
- Edit the `.env` file to include your specific configurations such as `OPENAI_API_KEY`, `NEO4J_URL`, `NEO4J_USERNAME`, and `NEO4J_PASSWORD`.
## Usage
1. Create Graph
```bash
python3 kg_builder/src/graph_creation.py
```
2. **Run the main script:**
```bash
python main.py
```
## Contributing
Contributions are welcome! To contribute:
1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request
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