🏛️ DeepTutor's Framework

💬 User Interface Layer

• Intuitive Interaction: Simple bidirectional query-response flow for intuitive interaction.
• Structured Output: Structured response generation that organizes complex information into actionable outputs.
• Dark/Light Mode: System-wide theme support with automatic system preference detection.
• Collapsible Sidebar: Compact navigation with icon-only mode for focused learning.

🤖 Intelligent Agent Modules

• Problem Solving & Assessment: Step-by-step problem solving and custom assessment generation.
• Research & Learning: Deep Research for topic exploration and Guided Learning with visualization.
• Idea Generation: Automated and interactive concept development with multi-source insights.

🔧 Tool Integration Layer

• Information Retrieval: RAG hybrid retrieval, real-time web search, and academic paper databases.
• Processing & Analysis: Python code execution, query item lookup, and PDF parsing for document analysis.
• Multi-Provider Support: Flexible LLM providers (OpenAI, Anthropic, Ollama, etc.) and embedding adapters (OpenAI, Jina, Cohere, Ollama, etc.).

🧠 Knowledge & Memory Foundation

• Knowledge Graph: Entity-relation mapping for semantic connections and knowledge discovery.
• Vector Store: Embedding-based semantic search for intelligent content retrieval.
• Memory System: Session state management and citation tracking for contextual continuity.

Key Features of DeepTutor

📚 Massive Document Knowledge Q&A

• Smart Knowledge Base: Upload textbooks, research papers, technical manuals, and domain-specific documents. Build a comprehensive AI-powered knowledge repository for instant access.

• Multi-Agent Problem Solving: Dual-loop reasoning architecture with RAG, web search, paper search, and code execution—delivering step-by-step solutions with precise citations.

🎨 Interactive Learning Visualization

• Knowledge Simplification & Explanations: Transform complex concepts, knowledge, and algorithms into easy-to-understand visual aids, detailed step-by-step breakdowns, and engaging interactive demonstrations.

• Personalized Q&A: Context-aware conversations that adapt to your learning progress, with interactive pages and session-based knowledge tracking.

🎯 Knowledge Reinforcement with Practice Problem Generator

• Intelligent Exercise Creation: Generate targeted quizzes, practice problems, and customized assessments tailored to your current knowledge level and specific learning objectives.

• Authentic Exam Simulation: Upload reference exams to generate practice questions that perfectly match the original style, format, and difficulty—giving you realistic preparation for the actual test.

🔍 Deep Research & Idea Generation

• Comprehensive Research & Literature Review: Conduct in-depth topic exploration with systematic analysis. Identify patterns, connect related concepts across disciplines, and synthesize existing research findings.

• Novel Insight Discovery: Generate structured learning materials and uncover knowledge gaps. Identify promising new research directions through intelligent cross-domain knowledge synthesis.