Multi-Agent Knowledge Graph System

Description

This project is a multi-agent knowledge graph system that integrates various graph databases and utilizes AI-driven agents to process semi-structured and unstructured data for intelligent querying and retrieval.

Features

• Ontology creation and management using RDF/OWL.
• Multi-agent architecture for data extraction, enrichment, validation, and querying.
• Support for Neo4j, ArangoDB, and AWS Neptune.
• Natural language querying and retrieval-augmented generation (RAG).
• REST API for interfacing with the knowledge graph.

Installation

1. Clone the repository:

   git clone https://github.com/akeebismail/knexgpt.git
   cd your-repo

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required packages:

   pip install -r requirements.txt

Usage

To start the FastAPI application, run:

uvicorn knexgpt.api.app:app --host 0.0.0.0 --port 8000

You can then access the API at http://localhost:8000.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

License

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