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Knowledge Graph System Implementation Plan

1. Set up the development environment

  • Install Python (if not already installed)
  • Install Neo4j
  • Install Vue.js and Vue CLI
  • Set up a virtual environment for Python
  • Install required Python packages:
    • Flask
    • neo4j-driver
    • PyPDF2 (or a similar PDF processing library)
    • numpy (for vector operations)
  • Install required Node.js packages for Vue.js:
    • axios (for API calls)
    • cytoscape (for graph visualization)

2. Create the Neo4j database schema

  • Define node labels: Section, KeyTerm, Concept, Media, Page
  • Define relationship types: RELATED_TO, APPEARS_ON, etc.
  • Set up indexes for optimized query performance

3. Develop the Flask API and integrate PDF processing

  • Create a new Python file: app.py
  • Set up Flask application
  • Implement Neo4j driver connection
  • Implement PDF parsing functionality:
    • Extract sections, key terms, concepts, and media from the PDF
    • Implement knowledge graph creation logic
    • Add page number association with nodes
  • Create API endpoints:
    • /upload_pdf: Handle PDF upload and processing
    • /get_pdf_list
    • /get_pdf
    • /get_knowledge_graph
    • /get_chapters_and_problems
    • /get_chapter_questions
    • /get_similarity_scores
    • /get_relevant_nodes
    • /get_relevant_pages
  • Implement Cypher queries for each endpoint
  • Set up PDF storage and retrieval system

4. Build the Vue.js frontend

  • Create a new Vue.js project
  • Set up project structure
  • Create components:
    • PDF uploader
    • PDF viewer
    • Knowledge graph visualization (using Cytoscape)
    • Chapter and problem listing
    • Question display
    • Similarity scores display
    • Relevant nodes display
    • Relevant pages display
  • Implement API calls to the Flask backend
  • Design and implement the user interface

5. Integrate all components

  • Ensure proper communication between frontend and API
  • Test data flow between all parts of the system

6. Testing

  • Develop unit tests for Python components
  • Develop unit tests for Vue.js components
  • Perform integration testing
  • Test Cypher query performance
  • Test PDF processing and knowledge graph creation

7. Optimization and refinement

  • Profile and optimize knowledge graph creation process
  • Optimize Cypher queries
  • Refine user interface based on testing feedback

8. Documentation

  • Write API documentation
  • Create user guide for the frontend
  • Document the knowledge graph schema and relationships
  • Document the PDF processing and knowledge graph creation process