Wikipedia remains an invaluable resource for structured knowledge, yet its traditional search mechanisms can feel outdated in an era of conversational interfaces. AikiPedia addresses this by providing an open-source layer that integrates AI capabilities directly with Wikipedia's content, enabling more intuitive exploration and synthesis of information.
Overview AikiPedia is a web application that leverages the Wikipedia API to access comprehensive documentation, enhanced by AI-driven tools for natural language interaction. It allows users to query, summarize, and personalize content without compromising on factual accuracy.
Key Features (v0.2) * Natural Language Search: Submit queries in everyday language, such as "Explain blockchain for beginners," to retrieve Wikipedia-sourced results refined by AI for clarity and relevance.
* Generated Overviews: Produce customized summaries, comparison tables, or timelines from any topic, facilitating efficient research and knowledge distillation.
* Save and Share Functionality: Use local storage for bookmarking and exporting content in Markdown or PDF formats, with AI-assisted previews for easy dissemination.
Future enhancements will be guided by community feedback, potentially including voice-based queries, multilingual support, and collaborative annotation tools. The platform ensures reliability by sourcing facts exclusively from Wikipedia's API, while employing the Gemini API for intelligent processing—minimizing errors and maintaining transparency in outputs.
I developed AikiPedia in a single evening, inspired by interactions with similar AI-augmented knowledge tools like Grokipedia. This project emphasizes an open-source, Wikipedia-centric approach, prioritizing ease of extension and deployment.
Technical Stack * Frontend: Next.js 16 (App Router) with Shadcn UI, utilizing server-side rendering for optimal performance.
* Backend: NestJS 16 (App Router) for robust API management, including caching of Wikipedia responses and coordination of Gemini integrations.
* Storage and Integrations: LocalStorage for user data persistence; Gemini API (via Ai SDK) for AI functionalities; Wikipedia API for content retrieval.
* Deployment: Hosted on Vercel for scalable, edge-optimized delivery.
License: MIT, permitting unrestricted modification and redistribution.
Repository: https://github.com/Grenish/aikipedia. Live demo: https://aikipedia.vercel.app/
I welcome your insights: Any observations on usability, particularly across devices? Contributions via stars, pull requests, or issues are greatly appreciated.
Thank you for your time and consideration.