WFGY/ProblemMap/GlobalFixMap/Enterprise_Knowledge_Gov/data_residency.md

Data Residency — Enterprise Knowledge Governance

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You are in a sub-page of Enterprise_Knowledge_Gov.
To reorient, go back here:

• Enterprise_Knowledge_Gov — corporate knowledge management and governance
• WFGY Global Fix Map — main Emergency Room, 300+ structured fixes
• WFGY Problem Map 1.0 — 16 reproducible failure modes

Think of this page as a desk within a ward.
If you need the full triage and all prescriptions, return to the Emergency Room lobby.

Guardrails and fix patterns to enforce jurisdiction and residency rules on enterprise knowledge pipelines. Use this page when retrieval or storage drifts across regions and breaks compliance with local data laws.

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When to use this page

• Snippets come from indexes hosted outside the allowed jurisdiction.
• AI answers blend EU-only and US-only data without labels.
• Multi-region retrievers collapse into lowest-latency store instead of correct residency.
• Replicas sync to unapproved clouds or regions.

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Core acceptance targets

• ΔS(question, retrieved) ≤ 0.45 within jurisdiction.
• ≥0.70 coverage for the correct residency domain.
• λ convergent across three paraphrases and two seeds.
• Every snippet labeled with {region_tag, residency_scope, audit_hash}.

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Typical residency problems → exact fix

Symptom	Likely cause	Open this
EU vs US content blended	Index replicas lack residency tags	retrieval-traceability.md
Latency-based failover picks wrong region	Bootstrap not locked to residency fences	bootstrap-ordering.md
Snippets without residency label	Schema missing region_tag field	data-contracts.md

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Fix in 60 seconds

1. Probe ΔS across regions: ask the same Q, check EU vs US vs APAC stores.
2. Enforce residency schema: all payloads must carry region_tag.
3. Rebuild index replicas with locked residency metadata.
4. Test λ stability with paraphrases inside each residency scope only.

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Copy-paste schema (JSON)

{
  "snippet_id": "KB-8837",
  "region_tag": "eu-central",
  "residency_scope": "gdpr_lock",
  "audit_hash": "sha256:...",
  "text": "..."
}

---

Escalate when

• ΔS ≥ 0.60 across paraphrases even with region locks.
• Index routing repeatedly breaks residency rules.
• Legal audit requires external certification.

Use retrieval-playbook.md and eval_rag_precision_recall.md for deep remediation.

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🔗 Quick-Start Downloads

Tool	Link	3-Step Setup
WFGY 1.0 PDF	Engine Paper	1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + ”
TXT OS (plain-text OS)	TXTOS.txt	1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly

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Explore More

Layer	Page	What it’s for
Proof	WFGY Recognition Map	External citations, integrations, and ecosystem proof
Engine	WFGY 1.0	Original PDF based tension engine
Engine	WFGY 2.0	Production tension kernel and math engine for RAG and agents
Engine	WFGY 3.0	TXT based Singularity tension engine, 131 S class set
Map	Problem Map 1.0	Flagship 16 problem RAG failure checklist and fix map
Map	Problem Map 2.0	RAG focused recovery pipeline
Map	Problem Map 3.0	Global Debug Card, image as a debug protocol layer
Map	Semantic Clinic	Symptom to family to exact fix
Map	Grandma’s Clinic	Plain language stories mapped to Problem Map 1.0
Onboarding	Starter Village	Guided tour for newcomers
App	TXT OS	TXT semantic OS, fast boot
App	Blah Blah Blah	Abstract and paradox Q and A built on TXT OS
App	Blur Blur Blur	Text to image with semantic control
App	Blow Blow Blow	Reasoning game engine and memory demo

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