https://github.com/simonpierreboucher/llm_cohere_notebook

This repository provides Jupyter notebooks for exploring and utilizing Cohere's Large Language Models (LLMs) in various applications, including chatbots and retrieval-augmented generation (RAG). These notebooks serve as a practical guide for deploying Cohere models for conversational AI and information retrieval tasks.
https://github.com/simonpierreboucher/llm_cohere_notebook

chatbot cohere cohere-ai rag retrieval-augmented-generation

Last synced: 7 months ago
JSON representation

This repository provides Jupyter notebooks for exploring and utilizing Cohere's Large Language Models (LLMs) in various applications, including chatbots and retrieval-augmented generation (RAG). These notebooks serve as a practical guide for deploying Cohere models for conversational AI and information retrieval tasks.

• Host: GitHub
• URL: https://github.com/simonpierreboucher/llm_cohere_notebook
• Owner: simonpierreboucher
• Created: 2024-11-13T22:11:07.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-11-14T19:43:46.000Z (11 months ago)
• Last Synced: 2025-01-24T23:34:51.665Z (8 months ago)
• Topics: chatbot, cohere, cohere-ai, rag, retrieval-augmented-generation
• Language: Jupyter Notebook
• Homepage:
• Size: 17.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# LLM Cohere Notebook

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

[![Python Version](https://img.shields.io/badge/python-3.7%2B-blue.svg)](https://www.python.org/downloads/)

[![GitHub Issues](https://img.shields.io/github/issues/simonpierreboucher/llm-generate-function)](https://github.com/simonpierreboucher/llm-generate-function/issues)

[![GitHub Forks](https://img.shields.io/github/forks/simonpierreboucher/llm-generate-function)](https://github.com/simonpierreboucher/llm-generate-function/network)

[![GitHub Stars](https://img.shields.io/github/stars/simonpierreboucher/llm-generate-function)](https://github.com/simonpierreboucher/llm-generate-function/stargazers)

This repository provides Jupyter notebooks for exploring and utilizing Cohere's Large Language Models (LLMs) in various applications, including chatbots and retrieval-augmented generation (RAG). These notebooks serve as a practical guide for deploying Cohere models for conversational AI and information retrieval tasks.

## Repository Structure

- **[COHERE-CHATBOT.ipynb](https://github.com/simonpierreboucher/llm_cohere_notebook/blob/main/COHERE-CHATBOT.ipynb)**: Demonstrates the setup of a chatbot using a Cohere model, focusing on creating interactive, conversational exchanges.

- **[COHERE-RAG.ipynb](https://github.com/simonpierreboucher/llm_cohere_notebook/blob/main/COHERE-RAG.ipynb)**: Implements Retrieval-Augmented Generation (RAG), combining document retrieval and generation for contextually relevant responses. Ideal for Q&A systems and customer support applications.

## Getting Started

### Prerequisites

To run these notebooks, you need:

- **Python 3.8+**

- **Jupyter Notebook**

- The dependencies listed in `requirements.txt`

### Installation

1. Clone the repository:

   ```bash

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

   cd llm_cohere_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. **Open a Notebook**: Select either the Chatbot or RAG notebook to explore specific functionalities.

3. **Follow Instructions**: Each notebook contains setup instructions and guidance for working with Cohere models in the specified application.

## Use Cases

- **COHERE-CHATBOT**: Perfect for building conversational agents or virtual assistants that engage users in dialogue.

- **COHERE-RAG**: Suitable for tasks that require accurate, contextually grounded answers, such as support chat and information retrieval systems.

## Contributing

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

## License

This repository is licensed under the MIT License.