ποΈ DeepTutor's Framework β

π¬ User Interface Layer β
β’ Intuitive Interaction: Simple bidirectional query-response flow for intuitive interaction.
β’ Structured Output: Structured response generation that organizes complex information into actionable outputs.
π€ Intelligent Agent Modules β
β’ Problem Solving & Assessment: Step-by-step problem solving and custom assessment generation.
β’ Research & Learning: Deep Research for topic exploration and Guided Learning with visualization.
β’ Idea Generation: Automated and interactive concept development with multi-source insights.
π§ Tool Integration Layer β
β’ Information Retrieval: RAG hybrid retrieval, real-time web search, and academic paper databases.
β’ Processing & Analysis: Python code execution, query item lookup, and PDF parsing for document analysis.
π§ Knowledge & Memory Foundation β
β’ Knowledge Graph: Entity-relation mapping for semantic connections and knowledge discovery.
β’ Vector Store: Embedding-based semantic search for intelligent content retrieval.
β’ Memory System: Session state management and citation tracking for contextual continuity.
Key Features of DeepTutor β
π Massive Document Knowledge Q&A β
β’ Smart Knowledge Base: Upload textbooks, research papers, technical manuals, and domain-specific documents. Build a comprehensive AI-powered knowledge repository for instant access.
β’ Multi-Agent Problem Solving: Dual-loop reasoning architecture with RAG, web search, paper search, and code executionβdelivering step-by-step solutions with precise citations.
π¨ Interactive Learning Visualization β
β’ Knowledge Simplification & Explanations: Transform complex concepts, knowledge, and algorithms into easy-to-understand visual aids, detailed step-by-step breakdowns, and engaging interactive demonstrations.
β’ Personalized Q&A: Context-aware conversations that adapt to your learning progress, with interactive pages and session-based knowledge tracking.
π― Knowledge Reinforcement with Practice Problem Generator β
β’ Intelligent Exercise Creation: Generate targeted quizzes, practice problems, and customized assessments tailored to your current knowledge level and specific learning objectives.
β’ Authentic Exam Simulation: Upload reference exams to generate practice questions that perfectly match the original style, format, and difficultyβgiving you realistic preparation for the actual test.
π Deep Research & Idea Generation β
β’ Comprehensive Research & Literature Review: Conduct in-depth topic exploration with systematic analysis. Identify patterns, connect related concepts across disciplines, and synthesize existing research findings.
β’ Novel Insight Discovery: Generate structured learning materials and uncover knowledge gaps. Identify promising new research directions through intelligent cross-domain knowledge synthesis.
π Massive Document Knowledge Q&A β![]() Document Q&A and Step-by-Step Problem Solving | π¨ Interactive Learning Visualization β![]() Interactive AI Learning with Knowledge Visual Explanations |
π― Knowledge Reinforcement β
![]() Custom Questions | ![]() Mimic Questions |
π Deep Research & Idea Generation β
![]() Deep Research | ![]() Automated IdeaGen | ![]() Interactive IdeaGen |
ποΈ All-in-One Knowledge System β
![]() Personal Knowledge Base | ![]() Personal Notebook |









