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

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>

skills/ms-ai-engineering/references/rag-architecture/rag-caching-optimization.md

@@ -1,6 +1,6 @@
 # RAG Caching and Performance Optimization
 
-**Last updated:** 2026-02
+**Last updated:** 2026-04 | Verified: MCP 2026-04
 **Status:** GA
 **Category:** RAG Architecture & Semantic Search
 
@@ -503,3 +503,23 @@ cache_key = f"user:{user_id}:tenant:{tenant_id}:query_hash:{hash(prompt)}"
 **Totalt antall kilder:** 9 unike Microsoft Learn URLer
 **MCP calls:** 6 (4 docs_search + 2 docs_fetch + 1 code_sample_search)
 **Sist verifisert:** 2026-02-03
+
+
+### Azure Managed Redis — Arkitektur (oppdatert 2026-04)
+
+Azure Managed Redis (basert på Redis Enterprise) er anbefalt for AI-workloads vs. Azure Cache for Redis (community edition):
+
+| Egenskap | Azure Cache for Redis | Azure Managed Redis |
+|---------|----------------------|---------------------|
+| Threading | Single-threaded | Multi-threaded (Redis Enterprise) |
+| Arkitektur | Primary + replica (2 nodes) | Multiple shards per node, distributed primaries |
+| Performance | Begrenset av single thread | Nær-lineær skalering med vCPUs |
+| Clustering | Valgfritt | Alltid aktivert (OSS, Enterprise, eller Non-Clustered policy) |
+| Active geo-replication | Nei | Ja |
+
+**Cluster policies:**
+- **OSS policy** — anbefalt for de fleste. Klienten kobles direkte til shards, laveste latency, best throughput
+- **Enterprise policy** — enkelt endpoint, bakoverkompatibelt, men enkelt-node proxy kan bli bottleneck. Påkrevd for RediSearch
+- **Non-Clustered** — kun ≤25 GB, for migrering fra ikke-shardede miljøer
+
+**Flash Optimized tier:** 20% RAM + 80% NVMe Flash. Optimal for read-heavy workloads med subset av hot keys.