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>
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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@ -1,6 +1,6 @@
# RAG Hallucination Mitigation Strategies
**Last updated:** 2026-02
**Last updated:** 2026-04 | Verified: MCP 2026-04
**Status:** GA
**Category:** RAG Architecture & Semantic Search
@ -400,3 +400,22 @@ Hvis AI-systemet gir feil informasjon som fører til skade:
**Sist verifisert:** 2026-02-03
**Neste revisjon:** 2026-05 (eller ved oppdatering av Azure AI Content Safety API)
### Azure AI Content Safety — Groundedness Detection (oppdatert 2026-04)
**Breaking change:** API-feltnavn er endret:
- `correction` → `mitigating` (deteksjons-modus)
- `correctedText` → `correctionText` (output-felt med korrigert tekst)
**Deteksjonsmoduser:**
- **Non-Reasoning mode** — rask binær deteksjon (grounded/ungrounded), lav latency for produksjon
- **Reasoning mode** — detaljerte forklaringer på ungrounded segmenter, bruk under utvikling/debugging
**Domenestøtte:** `MEDICAL` (medisinsk/vitenskapelig) og `GENERIC` (generelt formål)
**Task typer:** `Summarization` og `QnA`
**Grounding correction (preview):** API kan automatisk korrigere ikke-grounded tekst basert på dine grounding sources. Respons inkluderer `correctionText`-felt med korrigert innhold.
**Begrensninger:** Kun engelsk tekst støttes. Tilgjengelig i utvalgte Azure-regioner.