Spider

Transform Wikipedia into your AI-powered research assistant - chat, write, and create with any LLM

Transform your Wikipedia experience with an intelligent, interactive AI companion that turns any Wikipedia page into a dynamic knowledge resource. This powerful extension seamlessly integrates with multiple LLM providers to help you research, write, and create content effortlessly. KEY FEATURES - Interactive Chat: Engage in real-time conversations about any Wikipedia article, getting instant answers and clarifications. - Flexible LLM Integration: Choose from premium providers (Claude, GPT, Gemini) or run models locally (Ollama, WebLLM, Transformers). - Smart Content Generation: Create articles, essays, summaries, and abstracts using Wikipedia content as source material. - RAG Capabilities: Leverage advanced retrieval-augmented generation for accurate, context-aware responses. PERFECT FOR - Students researching topics and writing papers - Content creators seeking reliable information sources - Researchers needing quick summaries and analysis - Anyone looking to better understand Wikipedia content TECHNICAL FEATURES - Support for both API-based and locally hosted LLM models - Seamless integration with major AI providers - Clean, intuitive interface - Real-time processing and response generation - Privacy-focused design This extension bridges the gap between Wikipedia's vast knowledge base and modern AI capabilities, creating a powerful tool for learning, research, and content creation. Whether you're a student, professional, or curious learner, it transforms how you interact with Wikipedia's wealth of information. Installation is simple, and you can start using it immediately with your preferred LLM provider. Experience a new way to explore, understand, and utilize Wikipedia's knowledge base with AI-powered assistance at your fingertips. 🔔 IMPORTANT NOTES FOR LOCAL MODEL USERS 🔔 Ollama Setup: - Requires Ollama installation on your system - Must enable with command: set OLLAMA_ORIGINS=chrome-extension://* ollama serve in CMD for extension communication Transformer Models: - Models will be downloaded upon first use - Download speed depends on your internet connection Local Performance: - Processing speed and model performance depend on your system's computational resources - Recommended to have adequate RAM and processing power for optimal experience