https://github.com/simonpierreboucher/llm_mistral_notebook

This repository provides Jupyter notebooks to interact with Mistral Large Language Models (LLMs) for tasks including chatbot development, retrieval-augmented generation, and text generation. These notebooks are designed to help users leverage Mistral models in a range of applications, from conversational AI to content generation.
https://github.com/simonpierreboucher/llm_mistral_notebook

chatbot mistral mistral-api rag retrieval-augmented-generation text-generation

Last synced: about 1 month ago
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This repository provides Jupyter notebooks to interact with Mistral Large Language Models (LLMs) for tasks including chatbot development, retrieval-augmented generation, and text generation. These notebooks are designed to help users leverage Mistral models in a range of applications, from conversational AI to content generation.

• Host: GitHub
• URL: https://github.com/simonpierreboucher/llm_mistral_notebook
• Owner: simonpierreboucher
• Created: 2024-11-13T21:26:59.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-14T19:44:06.000Z (over 1 year ago)
• Last Synced: 2025-09-02T06:39:09.564Z (10 months ago)
• Topics: chatbot, mistral, mistral-api, rag, retrieval-augmented-generation, text-generation
• Language: Jupyter Notebook
• Homepage:
• Size: 30.3 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# LLM Mistral Notebook

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

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This repository provides Jupyter notebooks to interact with Mistral Large Language Models (LLMs) for tasks including chatbot development, retrieval-augmented generation, and text generation. These notebooks are designed to help users leverage Mistral models in a range of applications, from conversational AI to content generation.

## Repository Structure

- **[MISTRAL-CHATBOT.ipynb](https://github.com/simonpierreboucher/llm_mistral_notebook/blob/main/MISTRAL-CHATBOT.ipynb)**: A notebook for setting up a Mistral-powered chatbot, demonstrating dialogue handling and response generation.

- **[MISTRAL-RAG.ipynb](https://github.com/simonpierreboucher/llm_mistral_notebook/blob/main/MISTRAL-RAG.ipynb)**: Focuses on Retrieval-Augmented Generation (RAG) with the Mistral model, enabling the retrieval of relevant information before generating responses.

- **[MISTRAL-TEXTGEN.ipynb](https://github.com/simonpierreboucher/llm_mistral_notebook/blob/main/MISTRAL-TEXTGEN.ipynb)**: Demonstrates the text generation capabilities of Mistral models, ideal for creative and informative content generation.

## Getting Started

### Prerequisites

To run these notebooks, you need:

- **Python 3.8+**

- **Jupyter Notebook**

- Required dependencies as listed in `requirements.txt`

### Installation

1. Clone the repository:

   ```bash

   git clone https://github.com/simonpierreboucher/llm_mistral_notebook.git

   cd llm_mistral_notebook

   ```

2. Install the dependencies:

   ```bash

   pip install -r requirements.txt

   ```

### Running the Notebooks

1. **Start Jupyter Notebook**: Navigate to the repository folder and launch Jupyter:

   ```bash

   jupyter notebook

   ```

2. **Select a Notebook**: Open any of the notebooks (Chatbot, RAG, or Text Generation) to explore its functionality.

3. **Follow Instructions**: Each notebook includes setup steps and explanations to guide you through using the model.

## Use Cases

- **MISTRAL-CHATBOT**: For building chatbots and virtual assistants that engage users in dialogue.

- **MISTRAL-RAG**: Suitable for applications needing accurate, source-based responses, such as customer support and information retrieval systems.

- **MISTRAL-TEXTGEN**: Useful for content creation, story generation, or tasks requiring high-quality text generation.

## Contributing

We welcome contributions! Feel free to submit issues or pull requests to enhance functionality, add features, or fix bugs.

## License

This repository is licensed under the MIT License.