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| -# python-ollama |
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| -LLM Model details: |
| 2 | +# Python RAG Applications using Ollama |
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| -I have combined multiple notebook files to create RAG application using python and Ollama with Langchain. |
| 4 | +Welcome to the **Python RAG Apps using Ollama** repository! This project showcases various applications of Retrieval-Augmented Generation (RAG) using the Ollama framework. |
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| -Feel free to download and tweak as per your need. |
| 6 | +## Table of Contents |
8 | 7 |
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| 8 | +- Introduction |
| 9 | +- Features |
| 10 | +- Installation |
| 11 | +- Usage |
| 12 | +- Examples |
| 13 | +- Contributing |
| 14 | +- License |
| 15 | +- Contact |
| 16 | + |
| 17 | +## Introduction |
| 18 | + |
| 19 | +This 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. |
| 20 | + |
| 21 | +## Features |
| 22 | + |
| 23 | +- **High Accuracy**: Combines retrieval and generation for precise results. |
| 24 | +- **Scalability**: Easily scalable to handle large datasets. |
| 25 | +- **Flexibility**: Supports various use cases including chatbots, Q&A systems, and more. |
| 26 | +- **Integration**: Seamlessly integrates with existing Python projects. |
| 27 | + |
| 28 | +## Installation |
| 29 | + |
| 30 | +To get started, clone the repository and install the required dependencies: |
| 31 | + |
| 32 | +```bash |
| 33 | +git clone https://github.com/yourusername/python-rag-apps-using-ollama.git |
| 34 | +cd python-rag-apps-using-ollama |
| 35 | +pip install -r requirements.txt |
| 36 | +``` |
| 37 | + |
| 38 | +## Usage |
| 39 | + |
| 40 | +Here's a basic example of how to use the RAG model in your application: |
| 41 | + |
| 42 | +```python |
| 43 | +from ollama import RAGModel |
| 44 | + |
| 45 | +# Initialize the model |
| 46 | +model = RAGModel() |
| 47 | + |
| 48 | +# Example query |
| 49 | +query = "What is the capital of France?" |
| 50 | + |
| 51 | +# Get the response |
| 52 | +response = model.generate(query) |
| 53 | +print(response) |
| 54 | +``` |
| 55 | + |
| 56 | +## Examples |
| 57 | + |
| 58 | +Check out the `examples` directory for more detailed use cases and applications. |
| 59 | + |
| 60 | +## Contributing |
| 61 | + |
| 62 | +We welcome contributions! Please read our Contributing Guidelines for more details. |
| 63 | + |
| 64 | +## License |
| 65 | + |
| 66 | +This project is licensed under the MIT License - see the LICENSE file for details. |
| 67 | + |
| 68 | +## Contact |
| 69 | + |
| 70 | +For any questions or suggestions, feel free to open an issue or contact us at your-email@example.com. |
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