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

• Cohere for semantic chunking
• JINA AI for reranking
• serper.dev for Google search integration
• Groq for inference engine
• META opensource models

📬 Contact

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

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Happy searching with OpenPerPlex! 🚀🔍