📚 Explore My Technical Knowledge Base: copilot-architect-kb
Engineering discipline in the age of AI hype. Every repository below implements a section of my knowledge base.
The Copilot Architect Knowledge Base is the foundation of my GitHub presence. It documents:
- ✅ 7 core architecture patterns with production code
- ✅ 4+ real-world case studies with metrics
- ✅ 15+ technical challenges with solutions
- ✅ 8+ architectural decision records
- ✅ 50+ code examples and diagrams
- ✅ 48 repositories mapped and integrated
What makes it different: Not just documentation—every pattern has a working implementation repository. Theory ↔ Practice.
📐 Architecture Patterns • KB Section 1
Implementation repositories for production-ready patterns:
| Repository | KB Topic | Tech Stack | Status |
|---|---|---|---|
| three-layer-ai-framework ⭐ | Microsoft Copilot Stack | Python, Azure AI | 🚀 Production |
| azure-ai-foundry-showcase | Microsoft Copilot Stack | Python, Azure AI Foundry | 🚀 Production |
| enterprise-agent-toolkit | Multi-Agent Systems | TypeScript, Azure | 🚀 Production |
| semantic-kernel-production-patterns | Semantic Kernel | Python, C#, SK | 🚀 Production |
| rag-architecture-blueprints | RAG Architectures | Python, Azure AI Search | 📅 Planned (P0) |
| multi-agent-orchestration-cookbook | Multi-Agent Systems | Python, AutoGen, LangGraph | 📅 Planned (P2) |
| azure-copilot-production-stack | Production Deployment | Azure, Bicep, Redis | 📅 Planned (P2) |
🏢 Real-World Use Cases • KB Section 2
Production implementations from actual client engagements:
| Repository | Industry | KB Case Study | Production Metrics |
|---|---|---|---|
| enterprise-ai-analytics-platform ⭐ | Financial / Cross-Industry | Enterprise Analytics | Production-ready |
| agentic-data-platform | Public Sector | Multi-step Automation | Self-healing platform |
| strategic-forecasting-ai | Strategic Intelligence | Scenario Planning | Predictive analytics |
| ram-digital-twin | Consultancy | Knowledge Management | RAG + vector search |
| compliance-qa-production-system | Financial Services | Enterprise Knowledge Mgmt | 87% time reduction |
| housing-repair-automation-agents | Public Sector | Process Automation | 45% faster processing |
⚡ Technical Challenges • KB Section 3
Solving the hardest problems in production AI:
| Repository | Challenge Category | KB Reference | Innovation |
|---|---|---|---|
| llm-evaluation-production-toolkit | Evaluation & Quality | Hallucination Detection | RAGAS + LLM-as-judge |
| semantic-cache-production-patterns | Performance & Scale | Cost & Latency | 60% cost savings |
| ai-security-guardrails-framework | Security & Governance | PII, Prompt Injection | Multi-layer protection |
| persistent-memory-patterns | Memory & State | Unsolved Fundamentals | Redis + Cosmos patterns |
| universal-conversation-coach | Real-time Processing | Performance | Core Audio + Whisper |
Priority: All 📅 Planned repos are P0-P2 (launching in Phase 2-3).
🔧 Architectural Decisions • KB Section 4
Decision frameworks backed by production experience:
| Repository | Decision Topic | KB ADR | Tool Type |
|---|---|---|---|
| ai-architecture-decision-framework | All ADRs | Interactive Framework | Streamlit decision tool |
| rag-vs-finetuning-production-comparison | RAG vs Fine-Tuning | ADR #1 | Side-by-side comparison |
🚀 Emerging Patterns • KB Section 5
Cutting-edge integrations and future trends:
| Repository | Pattern | KB Reference | Status |
|---|---|---|---|
| graphiti | GraphRAG | Knowledge Graphs | 🍴 Fork |
| mcp-use | MCP Integration | Model Context Protocol | 🍴 Fork |
| web-eval-agent | MCP Integration | Autonomous Evaluation | 🍴 Fork |
| graphrag-production-patterns | GraphRAG | Neo4j + Azure AI Search | 🧪 Experimental (P3) |
| small-llm-local-deployment-guide | Small LLMs | Privacy & Cost | 🧪 Experimental (P3) |
| mcp-copilot-integration-patterns | MCP Integration | Semantic Kernel + MCP | 🧪 Experimental (P3) |
📖 Implementation Guides • KB Section 6
Step-by-step production implementations:
| Repository | Guide Type | KB Code Examples | Format |
|---|---|---|---|
| kb-implementation-examples | All KB Guides | 50+ examples | Jupyter notebooks |
| prompt-flow-production-templates | Prompt Flow | Azure AI Studio | Template library |
| harringey-voicechatbot-AZURE | VoiceRAG | Real-time RAG | 🍴 Fork (Azure) |
| genai-stack | Full Stack | LangChain + Neo4j | 🍴 Fork (Docker) |
📊 Metrics & Measurement • KB Section 7
Observable production systems:
| Repository | Metric Types | KB Framework | Tech Stack |
|---|---|---|---|
| copilot-metrics-framework | Quality, Performance, Cost | Complete Framework | Azure Monitor, Grafana |
| llm-cost-calculator | Cost Analysis | Cost Metrics | Streamlit calculator |
Technical articles derived from KB insights with working code:
| Article | KB Sections | Repository | Status |
|---|---|---|---|
| 1. The Memory Problem | Challenges, Evolution | 01-memory-problem | 📅 Planned (P0) |
| 2. Platform Wrappers | Evolution, ADRs | 02-platform-wrappers | 📅 Planned (P0) |
| 3. Customer Data Security | Security, Use Cases | 03-customer-data-security | 📅 Planned (P0) |
| 4. Organizational Politics | Use Cases | 04-organizational-politics | 📅 Planned (P0) |
| 5. RAG Decision Framework | ADRs | 05-rag-decision-framework | 📅 Planned (P0) |
| 6. Prompt Engineering Reality | Challenges | 06-prompt-engineering-reality | 📅 Planned (P0) |
Each article repository includes:
- ✅ Full LinkedIn article (1,200-1,500 words)
- ✅ Technical deep dive (3,000-4,000 words)
- ✅ Runnable code examples
- ✅ Mermaid diagrams
- ✅ KB references
BA GenAI Transformation Program - 5-week course for business analysts and project managers
Curriculum aligned with KB:
- Week 1: Strategic Discovery → KB: Use Cases + ADRs
- Week 2: Workflow Foundations → KB: Architecture Patterns
- Week 3: Rapid Prototyping → KB: Implementation Guides
- Week 4: Delivery Pipelines → KB: Production Deployment
- Week 5: Agentic Operations → KB: Multi-Agent Systems
Stats: 170+ sources, 90% completion target, 25%+ salary premium for graduates
- Microsoft Azure Solutions Architect Expert
- TOGAF 9.2 Certified
- PRINCE2 Practitioner
- Certified Business Analysis Professional (CBAP®)
- Knowledge Base: copilot-architect-kb
- LinkedIn: Ram Maree
- Thought Leadership: Microsoft AI Reality Check (Coming Soon)
- Course: BA GenAI Transformation
- Email: ram.maree@[your-domain]
| Metric | Count |
|---|---|
| KB Sections | 7 |
| Total Repositories | 48 |
| Production Repos | 18 |
| Planned Repos | 18 |
| Code Examples | 50+ |
| Architecture Diagrams | 20+ |
| Production Case Studies | 4+ |
| External References | 60+ |
Currently implementing 5 Priority 0 repositories:
- ✅ copilot-architect-kb - Central knowledge hub (COMPLETE)
- ✅ kb-implementation-examples - 6 production examples deployed (COMPLETE)
- ✅ semantic-kernel-production-patterns - 2 patterns deployed (COMPLETE)
- 🚧 rag-architecture-blueprints - Complete RAG reference implementation
- 🚧 llm-evaluation-production-toolkit - Fills critical gap in ecosystem
- 🚧 microsoft-ai-reality-check - 6 articles with working code
Target: Complete by Week 6 | Impact: 100+ stars, 20+ forks
| Industry | Solution | Impact |
|---|---|---|
| Financial Services | Compliance Q&A System | 87% time reduction |
| Public Sector | Repair Automation | 45% faster processing |
| Cross-Industry | Enterprise Analytics | Production-ready |
| Healthcare | AI Chatbot | Coming Soon |
I'm interested in collaborating on:
- 🔹 Enterprise AI Architecture patterns
- 🔹 Semantic Kernel production implementations
- 🔹 Multi-agent systems with Azure AI Foundry
- 🔹 RAG architecture optimizations
- 🔹 AI governance and security frameworks
Want to collaborate? Open an issue in any repo or connect on LinkedIn!
Curated list of 60+ repositories aligned with my KB:
Top Picks:
- DeepMCPAgent (633⭐) - LangGraph + MCP
- langgraph-bigtool (452⭐) - Large tool sets
- Conversation-Knowledge-Mining (367⭐) - Microsoft official
- mcp-foundry (214⭐) - Azure AI Foundry MCP
- SemanticKernel.Assistants (113⭐) - Multi-assistant patterns
Full List: external-references.json
- ✅ Launch comprehensive Knowledge Base (COMPLETE)
- 🎯 Publish 20+ production-ready repositories (7/20 done)
- 🎯 Publish 6 thought leadership articles
- 🎯 Reach 500+ aggregate stars across repos
- 🎯 Train 100+ students in BA GenAI program
- 🎯 Deliver 3+ client engagements from GitHub presence
- 🎯 Speak at 1+ major AI/Azure conference
Whether you're architecting enterprise AI, scaling RAG systems, or navigating multi-agent complexity—let's connect.
⭐ Star the Knowledge Base to stay updated!
Engineering discipline in the age of AI hype.
Last Updated: 2025-10-22 | Powered by Copilot Architect KB