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docs(architect): weekly KB update — 106 files refreshed (2026-04)

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Updates across all 5 skills: ms-ai-advisor, ms-ai-engineering,
ms-ai-governance, ms-ai-security, ms-ai-infrastructure.

Key changes:
- Language Services (Custom Text Classification, Text Analytics, QnA):
  retirement warning 2029-03-31, migration guides to Foundry/GPT-4o
- Agentic Retrieval: 50M free reasoning tokens/month (Public Preview)
- Computer Use: Claude Sonnet 4.5 (preview) + OpenAI CUA models
- Agent Registry: Risks column (M365 E7), user-shared/org-published types
- Declarative agents: schema v1.5 → v1.6, Store validation requirements
- MLflow 3: 13 built-in LLM judges, production monitoring, Genie Code
- AG-UI HITL: ApprovalRequiredAIFunction (C#) + @tool(approval_mode) (Python)
- Entra ID Ignite 2025: Agent ID Admin/Developer RBAC roles, Conditional Access
- Security Copilot: 400 SCU/month per 1000 M365 E5 licenses, auto-provisioned
- Fast Transcription API: phrase lists, 14-language multi-lingual transcription
- Azure Monitor Workbooks: Bicep support, RBAC specifics
- Power Platform Copilot: data residency (Norway/Europe → EU DB, Bing → USA)
- RAG security-rbac: 4-approach table (GA + 3 preview access control methods)
- IaC MLOps: Well-Architected OE:05 principles, Bicep/Terraform patterns
- Translator: image file batch translation Preview (JPEG/PNG/BMP/WebP)

All 106 files: Last updated 2026-04 | Verified: MCP 2026-04

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Kjell Tore Guttormsen 2026-04-10 09:13:24 +02:00
commit 6645e93205
104 changed files with 1986 additions and 520 deletions
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6
skills/ms-ai-engineering/references/rag-architecture/graphrag-knowledge-graphs.md
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@ -1,6 +1,6 @@
# GraphRAG - Knowledge Graphs and Relationship Extraction
**Last updated:** 2026-02
**Last updated:** 2026-04 | Verified: MCP 2026-04
**Status:** Preview
**Category:** RAG Architecture & Semantic Search
@ -23,7 +23,7 @@ GraphRAG-systemet består av flere integrerte lag som sammen muliggjør relasjon
| Komponent | Beskrivelse | Microsoft-teknologi |
|-----------|-------------|---------------------|
| **Entity Extraction** | Identifiserer og trekker ut navngitte entiteter (personer, organisasjoner, lokasjoner) fra tekst | Azure AI Language Service (NER v3), GenAI Prompt skill |
| **Relationship Graphs** | Representerer entiteter som nodes og relasjoner som edges i en graph-struktur | Azure Cosmos DB (graph API), Kusto Query Language (KQL) graph semantics |
| **Relationship Graphs** | Representerer entiteter som nodes og relasjoner som edges i en graph-struktur | Azure Cosmos DB (graph API), Microsoft Fabric Graph (Labeled Property Graph — LPG model, Public Preview), Kusto Query Language (KQL) graph semantics |
| **Graph Indexing** | Lagrer og indekserer graph-strukturen for effektiv traversal og søk | Azure Cosmos DB indexing, Azure AI Search (hybrid indexing) |
| **Traversal Queries** | Søkemekanismer for å navigere graph-strukturen (pattern matching, shortest path, neighborhood search) | KQL `graph-match`, `graph-shortest-paths`, Labeled Property Graphs (LPG) |
| **Entity Linking** | Forbinder ekstraherte entiteter med eksisterende knowledge bases (f.eks. Wikipedia) for normalisering og anrikning | Azure AI Language Entity Linking skill |
@ -39,6 +39,8 @@ Entity extraction-prosessen transformerer ustrukturert tekst til strukturerte en
### Graph Database Modeller
> **Microsoft Fabric Graph (Preview):** Fabric Graph bruker Labeled Property Graph (LPG)-modellen for rask traversal og analytics. RDF-formatet støttes ikke. LPG egner seg for enterprise analytics og fraud detection der semantisk web-integrasjon ikke er nødvendig.
Microsoft Fabric og Azure støtter **Labeled Property Graphs (LPG)** som standard graph-modell:
- **Nodes (entiteter)**: Har labels (typer), properties (attributter) og unique IDs