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# python-ollama

LLM Model details:
# Python RAG Applications using Ollama

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.

Feel free to download and tweak as per your need.
## Table of Contents

- Introduction
- Features
- Installation
- Usage
- Examples
- Contributing
- License
- Contact

## Introduction

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.

## Features

- **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.

## Installation

To get started, clone the repository and install the required dependencies:

```bash
git clone https://github.com/yourusername/python-rag-apps-using-ollama.git
cd python-rag-apps-using-ollama
pip install -r requirements.txt
```

## Usage

Here's a basic example of how to use the RAG model in your application:

```python
from ollama import RAGModel

# Initialize the model
model = RAGModel()

# Example query
query = "What is the capital of France?"

# Get the response
response = model.generate(query)
print(response)
```

## Examples

Check out the `examples` directory for more detailed use cases and applications.

## Contributing

We welcome contributions! Please read our Contributing Guidelines for more details.

## License

This project is licensed under the MIT License - see the LICENSE file for details.

## Contact

For any questions or suggestions, feel free to open an issue or contact us at [email protected].

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