https://github.com/tushar2704/docs_avec_ollama
Docs avec Ollama is a tool designed to facilitate interactive and intuitive communication with PDF documents using Ollama, and local models(Gemma:2b & nomic-embed-text) for chatting. This README provides an overview of the project, its features, installation instructions, and usage guidelines.
https://github.com/tushar2704/docs_avec_ollama
chainlit chatbot embeddings gemma llms nlp nomic ollama pdf
Last synced: about 21 hours ago
JSON representation
Docs avec Ollama is a tool designed to facilitate interactive and intuitive communication with PDF documents using Ollama, and local models(Gemma:2b & nomic-embed-text) for chatting. This README provides an overview of the project, its features, installation instructions, and usage guidelines.
- Host: GitHub
- URL: https://github.com/tushar2704/docs_avec_ollama
- Owner: tushar2704
- License: mit
- Created: 2024-03-04T18:34:20.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-03-07T22:12:20.000Z (over 1 year ago)
- Last Synced: 2025-05-17T12:13:51.814Z (5 months ago)
- Topics: chainlit, chatbot, embeddings, gemma, llms, nlp, nomic, ollama, pdf
- Language: Python
- Homepage: https://tushar-aggarwal.com
- Size: 1.15 MB
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Docs Chat avec Ollama(Gemma:2b & nomic-embed-text)
Docs avec Ollama is a tool designed to facilitate interactive and intuitive communication with PDF documents using Ollama, and local models(Gemma:2b & nomic-embed-text) for chatting. This README provides an overview of the project, its features, installation instructions, and usage guidelines.
## Features
- **Interactive Chatting**: Engage in real-time conversations with Ollama, a local model trained for conversational interactions.
- **PDF Integration**: Seamlessly interact with PDF documents within the chat interface, enabling efficient information retrieval and navigation.
- **Local Model**: Enjoy privacy and data security with Ollama, a local model that operates without relying on external servers or cloud-based services.
- **User-friendly Interface**: Intuitive design for ease of use, ensuring a smooth and enjoyable user experience.## Installation
To install Docs_avec_Ollama, follow these steps:
1. Clone the repository:
```
git clone https://github.com/tushar2704/Docs_avec_Ollama.git
```2. Navigate to the project directory:
```
cd Docs_avec_Ollama
```3. Install dependencies:
```
pip install -r requirements.txt
```4. Run the application:
```
python main.py
```## Usage
1. Launch the application by running `main.py`.
2. Start a conversation with Ollama by typing your message in the chat interface.
3. Upload a PDF document by clicking on the "Upload PDF" button or providing the file path.
4. Interact with the PDF document within the chat interface using commands such as "search", "navigate to page", etc.
5. Enjoy seamless communication and document interaction with Ollama!## Support
For any questions, issues, or feedback, please contact [tushar.inseec@gmail.com](mailto:tushar.inseec@gmail.com).
## Acknowledgements
Docs_avec_Ollama is powered by Ollama, a local conversational model, and various open-source libraries.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
---
© 2024 Your Company. All rights reserved.