Calf 🐄

Calf is a cutting-edge Retrieval-Augmented Generation (RAG) project built using Langchain and Ollama. This project aims to act as an intelligent L1 engineer and knowledge keeper for organizations, providing efficient data retrieval and insightful responses through advanced AI techniques.

🚀 Features

• Intelligent Retrieval: Quickly fetch relevant data from various sources to enhance user queries.
• Contextual Generation: Generate context-aware responses that leverage retrieved data for improved accuracy.
• Graph-Based Structure: Organize and visualize data connections, making it easier to navigate complex information.
• Scalable Architecture: Designed to handle a growing amount of data while maintaining performance.

🛠️ Tech Stack

• Languages: Python
• Frameworks: Langchain, Ollama
• Tools: Graph databases, Retrieval mechanisms
• Other Technologies: [List any other relevant tools or technologies]

🌱 Getting Started

To get a local copy up and running, follow these steps:

1. Clone the repository:

   git clone https://github.com/rhasanm/calf.git
   cd calf

2. Install the required dependencies:

   pip install -r requirements.txt

3. Configure the environment variables:

   • [Instructions on setting up any necessary environment variables]

4. Run the application:

   python main.py

🔍 Usage

📄 Documentation

For detailed documentation on how to implement and use Calf, please refer to the docs folder.

🤝 Contributing

Contributions are welcome! Please read our CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests.

📫 Contact

For any inquiries or suggestions, please reach out to:

• Email: your-email@example.com
• GitHub: Your GitHub Profile

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Thank you for checking out Calf! Feel free to explore the repository and get in touch if you'd like to collaborate or contribute.