Play 67 — AI Knowledge Management
Organizational knowledge platform — auto-capture from Teams/SharePoint/ServiceNow/Jira/meetings, LLM extraction with taxonomy classification, semantic deduplication (0.95 threshold), knowledge graph in Cosmos DB, expertise finder with contribution-based profiles, freshness scoring with TTL-based archival, and access control inherited from source systems.
Architecture
| Component | Azure Service | Purpose |
|---|---|---|
| Extraction | Azure OpenAI (GPT-4o) | Knowledge item extraction from sources |
| Classification | Azure OpenAI (GPT-4o-mini) | Taxonomy, entity extraction |
| Knowledge Index | Azure AI Search | Semantic search over knowledge base |
| Knowledge Graph | Azure Cosmos DB | Entity relationships, expertise profiles |
| Source Connectors | Microsoft Graph + APIs | Teams, SharePoint, ServiceNow, Jira |
| KM API | Azure Container Apps | Capture, search, expert finder |
How It Differs from Related Plays
| Aspect | Play 01 (Enterprise RAG) | Play 67 (Knowledge Management) | Play 25 (Conversation Memory) |
|---|---|---|---|
| Input | Uploaded documents | Auto-captured from live sources | Conversation history |
| Scope | Q&A over documents | Organizational memory + expertise | Session context |
| Dedup | N/A | Semantic dedup (0.95 threshold) | N/A |
| Experts | N/A | Expertise finder (who knows what) | N/A |
| Freshness | Manual re-index | TTL-based auto-archival | Session TTL |
| Graph | N/A | Entity relationship graph | N/A |
Key Metrics
| Metric | Target | Description |
|---|---|---|
| Capture Rate | > 80% | Knowledge extracted from sources |
| Duplicate Detection | > 95% | Near-duplicates caught |
| Expert Relevance | > 80% | Found person knows the topic |
| Stale Content | < 10% | Items past TTL |
| NDCG@5 | > 0.70 | Search result quality |
Cost Estimate
| Service | Dev | Prod | Enterprise |
|---|---|---|---|
| Azure OpenAI | $35 | $300 | $1,200 |
| Azure AI Search | $0 | $250 | $500 |
| Cosmos DB | $3 | $50 | $180 |
| Microsoft Graph | $0 | $0 | $0 |
| Container Apps | $10 | $100 | $280 |
| Blob Storage | $3 | $25 | $80 |
| Key Vault | $1 | $3 | $10 |
| Application Insights | $0 | $25 | $90 |
| Total | $52/mo | $753/mo | $2,340/mo |
Estimates based on Azure retail pricing. Actual costs vary by region, usage, and enterprise agreements.
WAF Alignment
| Pillar | Implementation |
|---|---|
| Operational Excellence | Auto-capture from 6 sources, taxonomy, expertise tracking |
| Security | Access control inherited from source systems |
| Reliability | Semantic dedup, freshness scoring, auto-archival |
| Cost Optimization | gpt-4o-mini for classification, batch extraction |
| Performance Efficiency | AI Search for fast retrieval, cached profiles |
| Responsible AI | Fair expertise ranking, no demographic bias |
FAI Manifest
| Field | Value |
|---|---|
| Play | 67-ai-knowledge-management |
| Version | 1.0.0 |
| Knowledge | R2-RAG-Architecture, O2-Agent-Coding, T3-Production-Patterns, F1-GenAI-Foundations, O1-Semantic-Kernel |
| WAF Pillars | security, reliability, operational-excellence, cost-optimization, performance-efficiency |
| Groundedness | ≥ 85% |
| Safety | 0 violations max |
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