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OpenPerPlex

OpenPerPlex is an open-source AI search engine that leverages cutting-edge technologies to provide search capabilities over the web.

front end app (vuejs)

  • https://github.com/YassKhazzan/openperplex_front.git

🌟 Features

  • Semantic chunking using Cohere and semantic-chunkers library (https://github.com/aurelio-labs/semantic-chunkers/blob/main/semantic_chunkers/chunkers/statistical.py)
  • Reranking results with JINA API
  • Google search integration via serper.dev
  • Groq as the inference engine
  • Llama 3 70B MODEL

🚀 Quick Start

Prerequisites

  • Python 3.11+
  • pip

Installation

  1. Clone the repository: git clone https://github.com/YassKhazzan/openperplex_backend_os.git
  2. Install the required packages: pip install -r requirements.txt
  3. Set up your environment variables:
  • Copy the .env_example file to .env
  • Fill in your API keys in the .env file

Running the Project

To start the OpenPerPlex server: uvicorn main:app --port 8000

The server will be available at http://localhost:8000

🔧 Configuration

Make sure to set up your .env file with the necessary API keys:

  • COHERE_API_KEY
  • JINA_API_KEY
  • SERPER_API_KEY
  • GROQ_API_KEY

🤝 Contributing

We welcome contributions to OpenPerPlex! Please feel free to submit issues, fork the repository and send pull requests!

📝 License

This project is licensed under the MIT License.

🙏 Acknowledgements

📬 Contact

For any questions or feedback, please open an issue on this repository or contact me on X

Happy searching with OpenPerPlex! 🚀🔍