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The NeuralArchive app is an AI-powered research assistant. Designed to handle user queries and create comprehensive, structured knowledge. It leverages advanced AI models to analyze complex topics and generate detailed research reports, making it an invaluable tool for researchers, students, and professionals seeking insights. To use the app, users can submit their research questions through an intuitive interface. The app processes these queries using a multi-stage AI workflow, which includes an AI researcher for initial analysis, a specialized search engine for data gathering, and a senior researcher for synthesizing findings and validating information. The results are presented in an interactive knowledge graph format, allowing users to explore relationships and connections within the data. The app is built using modern web technologies, including TypeScript, React, and Next.js, ensuring a responsive and dynamic user experience. It also utilizes Tailwind CSS for styling, providing a clean and visually appealing interface. Key features of the app include: 1. AI-Powered Research: Advanced AI models analyze queries and generate comprehensive reports. 2. Interactive Knowledge Graph: Visual representation of research results, allowing users to explore connections. 3. Fact Verification: Cross-referencing information from multiple sources to ensure accuracy. 4. Real-Time Processing: Quick delivery of research results through an optimized processing pipeline. 5. User Authentication: Secure login and signup processes for personalized user experiences. 6. Responsive Design: A mobile-friendly interface that adapts to various screen sizes. Overall, NeuralArchive aims to redefine the research process by making it more efficient and accessible, enabling users to unlock insights instantly.