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