{"id":22871026,"url":"https://github.com/rvats20/python-ollama","last_synced_at":"2026-04-12T18:08:44.679Z","repository":{"id":259204620,"uuid":"876572139","full_name":"rvats20/python-ollama","owner":"rvats20","description":"Python-llama Agents, LLM-Rag-Application, Aenerative-AI, Machine-Learning. Model Training, Implementing various machine learning algorithms such as Logistic Regression, Decision Trees, Random Forests, and Gradient Boosting. 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This project showcases various applications of Retrieval-Augmented Generation (RAG) using the Ollama framework.\n\n## Table of Contents\n\n- Introduction\n- Features\n- Installation\n- Usage\n- Examples\n- Contributing\n- License\n- Contact\n\n## Introduction\n\nThis repository contains a collection of Python applications that leverage the power of Retrieval-Augmented Generation (RAG) using the Ollama framework. RAG combines the strengths of retrieval-based and generation-based models to provide more accurate and contextually relevant responses.\n\n## Features\n\n- **High Accuracy**: Combines retrieval and generation for precise results.\n- **Scalability**: Easily scalable to handle large datasets.\n- **Flexibility**: Supports various use cases including chatbots, Q\u0026A systems, and more.\n- **Integration**: Seamlessly integrates with existing Python projects.\n\n## Installation\n\nTo get started, clone the repository and install the required dependencies:\n\n```bash\ngit clone https://github.com/yourusername/python-rag-apps-using-ollama.git\ncd python-rag-apps-using-ollama\npip install -r requirements.txt\n```\n\n## Usage\n\nHere's a basic example of how to use the RAG model in your application:\n\n```python\nfrom ollama import RAGModel\n\n# Initialize the model\nmodel = RAGModel()\n\n# Example query\nquery = \"What is the capital of France?\"\n\n# Get the response\nresponse = model.generate(query)\nprint(response)\n```\n\n## Examples\n\nCheck out the `examples` directory for more detailed use cases and applications.\n\n## Contributing\n\nWe welcome contributions! Please read our Contributing Guidelines for more details.\n\n## License\n\nThis project is licensed under the MIT License - see the LICENSE file for details.\n\n## Contact\n\nFor any questions or suggestions, feel free to open an issue or contact us at your-email@example.com.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frvats20%2Fpython-ollama","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frvats20%2Fpython-ollama","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frvats20%2Fpython-ollama/lists"}