Skip to content

Knowledge Graph in Practice

This trail covers the path from conceptual understanding to running knowledge graph systems. It begins with architectural decisions and design principles, progresses through graph-based RAG patterns and semantic search implementations, and culminates in production deployment guidance. Each stop builds on the previous, connecting the theoretical foundations of knowledge representation with the practical challenges of building retrieval-augmented systems that actually work in production environments.

50 min
7 stops
Knowledge Graph Architecture
Begin Trail

7 Stops

  1. 1
    Building the Knowledge Graph

    Conceptual foundation and architecture decisions

  2. 2
    Knowledge Graph Visualizer README

    Production application README with implementation details

  3. 3
    GraphRAG System Capabilities Overview

    Comprehensive capability overview for graph-based RAG

  4. 4
    Knowledge Graph Architecture

    Technical implementation patterns from the book

  5. 5
    ACE Reference: Retrieval Augmentation

    Authoritative patterns for retrieval-augmented systems

  6. 6
    NDC KB Agent RAG Implementation

    Healthcare domain RAG implementation case study

  7. 7
    From Theory to Production: Building Personal Infrastructure

    Production deployment synthesis

Begin Trail