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AI Knowledge Hub

Your go-to resource for understanding AI -- from foundational concepts to architecture patterns. Built for everyone in the organization, regardless of technical background.


Find Your Path

  • New to AI?


    Start here to understand the basics -- what AI is, how LLMs work, and why it matters for your role.

    Getting Started

  • Learn the Concepts


    Deep dive into AI topics -- models, RAG, agents, prompting, fine-tuning, and more.

    Explore Concepts

  • RAG & Knowledge Systems


    Production-depth coverage of embeddings, chunking, vector databases, GraphRAG, and evaluation.

    Explore RAG

  • AI Developer Tools


    GitHub Copilot, Claude Code, Copilot Extensions, and the Model Context Protocol.

    View Tools

  • Architecture Patterns


    Design patterns and principles for building AI agent systems -- for developers and architects.

    View Patterns

  • Quick Reference


    Look up any AI term instantly. A searchable glossary covering 70+ terms explained in plain English.

    Open Glossary

  • Tools & Frameworks


    What we use in our organization -- Semantic Kernel, LangChain, Azure AI, and more.

    View Tools

  • References


    Curated links to official documentation, learning resources, and research.

    Browse References


Who Is This For?

Not sure where to start? View structured learning paths →

Business Analysts & Product Managers

Start with Getting Started and the Glossary to build your AI vocabulary. Then explore Enterprise Patterns for understanding how AI is deployed at scale.

Software Engineers & Developers

Follow the Developer Learning Path: Concepts → RAG & Knowledge Systems → AI Developer Tools. The RAG section and AI Dev Tools section are specifically built for you.

Co-op Students & New Joiners

Welcome! Start with Getting Started for a beginner-friendly introduction, use the Glossary whenever you encounter unfamiliar terms, and follow the Learning Paths to find the right route.

Leaders & Decision Makers

Focus on Getting Started for the big picture, Enterprise Patterns for understanding AI architectures, and Safety & Responsible AI for governance and risk.


Site Map

graph TD
    A[AI Knowledge Hub] --> B[Getting Started]
    A --> C[Concepts]
    A --> R[RAG & Knowledge Systems]
    A --> T[AI Developer Tools]
    A --> D[Patterns]
    A --> E[Glossary]
    A --> F[Tools & Frameworks]
    A --> G[References]

    B --> B1[AI 101]
    B --> B2[Learning Paths]

    C --> C1[Foundation & Models]
    C --> C2[Retrieval & Data]
    C --> C3[AI Agents]
    C --> C4[Agentic AI]
    C --> C5[Prompting]
    C --> C6[Fine-Tuning]
    C --> C7[Safety & RAI]
    C --> C8[Infrastructure]

    R --> R1[RAG Fundamentals]
    R --> R2[Embeddings]
    R --> R3[Chunking Strategies]
    R --> R4[Vector Databases]
    R --> R5[GraphRAG]
    R --> R6[RAG Evaluation]

    T --> T1[GitHub Copilot]
    T --> T2[Copilot CLI & Extensions]
    T --> T3[Claude Code]
    T --> T4[Claude Code Skills]
    T --> T5[MCP]

    D --> D1[Design Patterns]
    D --> D2[Enterprise Patterns]
    D --> D3[Design Principles]
    D --> D4[Code Quality Pipeline]

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    style B fill:#0d9488,stroke:#0b7a72,stroke-width:2px,color:#fff
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What's New

Check What's New for the latest updates and announcements.