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¶
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New to AI?
Start here to understand the basics -- what AI is, how LLMs work, and why it matters for your role.
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Learn the Concepts
Deep dive into AI topics -- models, RAG, agents, prompting, fine-tuning, and more.
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RAG & Knowledge Systems
Production-depth coverage of embeddings, chunking, vector databases, GraphRAG, and evaluation.
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AI Developer Tools
GitHub Copilot, Claude Code, Copilot Extensions, and the Model Context Protocol.
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Architecture Patterns
Design patterns and principles for building AI agent systems -- for developers and architects.
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Quick Reference
Look up any AI term instantly. A searchable glossary covering 70+ terms explained in plain English.
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Tools & Frameworks
What we use in our organization -- Semantic Kernel, LangChain, Azure AI, and more.
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References
Curated links to official documentation, learning resources, and research.
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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What's New¶
Check What's New for the latest updates and announcements.