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# python-ollama | ||
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LLM Model details: | ||
# 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. | ||
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. | ||
## Table of Contents | ||
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- Introduction | ||
- Features | ||
- Installation | ||
- Usage | ||
- Examples | ||
- Contributing | ||
- License | ||
- Contact | ||
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## Introduction | ||
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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. | ||
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## Features | ||
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- **High Accuracy**: Combines retrieval and generation for precise results. | ||
- **Scalability**: Easily scalable to handle large datasets. | ||
- **Flexibility**: Supports various use cases including chatbots, Q&A systems, and more. | ||
- **Integration**: Seamlessly integrates with existing Python projects. | ||
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## Installation | ||
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To get started, clone the repository and install the required dependencies: | ||
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```bash | ||
git clone https://github.com/yourusername/python-rag-apps-using-ollama.git | ||
cd python-rag-apps-using-ollama | ||
pip install -r requirements.txt | ||
``` | ||
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## Usage | ||
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Here's a basic example of how to use the RAG model in your application: | ||
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```python | ||
from ollama import RAGModel | ||
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# Initialize the model | ||
model = RAGModel() | ||
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# Example query | ||
query = "What is the capital of France?" | ||
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# Get the response | ||
response = model.generate(query) | ||
print(response) | ||
``` | ||
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## Examples | ||
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Check out the `examples` directory for more detailed use cases and applications. | ||
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## Contributing | ||
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We welcome contributions! Please read our Contributing Guidelines for more details. | ||
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## License | ||
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This project is licensed under the MIT License - see the LICENSE file for details. | ||
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## Contact | ||
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For any questions or suggestions, feel free to open an issue or contact us at [email protected]. |