Inqueropedia is a pre-trained chatbot built on the Plain Text Wikipedia Dataset, making it a fast and efficient way to explore knowledge from Wikipedia.
Inqueropedia aims to simplify information discovery by transforming the vast content of Wikipedia into an interactive, conversational experience. Instead of reading long articles, users can ask specific questions and get precise, context-aware responses.
Inqueropedia is built from the ground up. From dataset preparation to model architecture and training, every component is designed in-house. This approach ensures:
- Full transparency and control over the model.
- A solution tailored specifically to querying Wikipedia data.
- A learning experience that deepens understanding of AI and NLP.
Reading through an entire Wikipedia article to learn about something can be time-consuming. Instead, you can use Inqueropedia — a chatbot designed to query Wikipedia data effortlessly.
- Time-Saving: Get concise answers without the need to sift through lengthy articles.
- Focused Queries: Ask specific questions and receive targeted responses, avoiding unnecessary information.
- Accessible Knowledge: Tap into a vast database of Wikipedia's content in a simple, conversational format.
- User-Friendly: Interact naturally with the chatbot, making information retrieval easy for everyone.
- Natural Language Queries: Ask questions like you would to a person.
- Wikipedia-Specific Insights: Get answers sourced directly from Wikipedia.
- Concise Responses: Summarized answers tailored to your query.
- Lightweight and Efficient: Optimized for quick response times.
- Customizable: Easily extendable for other knowledge bases.
- Open source: Make changes to the chatbot based on your needs.
- Language: Python
- Framework: PyTorch
- Dataset: Plain Text Wikipedia Dataset
- Deployment: Will decide once ready for deployment
Stay tuned! A detailed guide for setting up Inqueropedia locally, including dependencies and configuration steps, will be added soon.
- Data preprocessing
- Get the model ready.
- Implement setup guide for local deployment.
- Build a web-based interface for enhanced usability.
- Integrate multi-language support.
While Inqueropedia is a solo project, I welcome suggestions and feedback! If you'd like to contribute, feel free to:
- Fork the repository and experiment with improvements.
- Share your ideas or issues by opening an issue or a pull request.
- Fork the repository.
- Create a new branch:
git checkout -b feature/YourFeature. - Commit your changes:
git commit -m "Add your message here". - Push the branch:
git push origin feature/YourFeature. - Submit a pull request.
For larger contributions, please open an issue first to discuss your ideas.
If you find this project interesting, consider starring the repository to show your support and stay updated with new features!