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203 lines
14 KiB
Markdown
203 lines
14 KiB
Markdown
# Locale Drift — Guardrails and Fix Patterns
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Stabilize retrieval when **locale settings** silently change token rules, analyzers, and normalization between **ingest, index, and query**. Typical failures include `en_US` vs `en_GB` spelling, `tr_TR` case-folding (“i/İ”), decimal and thousands separators, date formats, Simplified/Traditional Chinese, and accent stripping differences.
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---
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## Open these first
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* Visual map and recovery: [rag-architecture-and-recovery.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md)
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* End to end retrieval knobs: [retrieval-playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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* Why this snippet and how to cite: [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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* Snippet schema fence: [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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* Embedding vs meaning: [embedding-vs-semantic.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
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* Chunk boundary sanity: [chunking-checklist.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md)
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Related in this folder:
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* Tokenizer drift: [tokenizer\_mismatch.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Language/tokenizer_mismatch.md)
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* Mixed scripts in one query: [script\_mixing.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Language/script_mixing.md)
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---
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## Core acceptance targets
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* ΔS(question, retrieved) ≤ 0.45 across locale variants of the same query
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* Coverage of the target section ≥ 0.70 after repair
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* λ remains convergent across three paraphrases and two seeds
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* E\_resonance flat on long windows that include locale-sensitive tokens (dates, numbers, currencies)
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---
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## What this failure looks like
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| Symptom | Likely cause | Where to fix |
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| ----------------------------------------------------------------------------------------------- | --------------------------------------------------------------------- | ------------------------------------------------------------------------- |
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| High similarity yet wrong section when query switches `,` and `.` in numbers (e.g., `1.234,56`) | Different locale decimal/thousand separators between ingest and query | Normalize numerics before index and query; align analyzers |
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| Dates “03/07/2024” retrieved as July instead of March | Ambiguous locale date parsing | Canonicalize to ISO `YYYY-MM-DD` at ingest and query |
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| “istanbul” mismatches titles with “İstanbul” | Turkish case-folding rules differ across stages | Use locale-aware fold or ASCII base form consistently |
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| “straße/strasse” flip in German content | ß vs ss normalization mismatch | Decide policy (preserve ß or fold to `ss`) and apply everywhere |
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| “café” differs from “cafe” across stores | Accent stripping only on one side | Apply accent policy uniformly; prefer keeping both forms via subfield |
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| English vs Chinese punctuation causes token joins/drops | Locale-specific punctuation width and spacing | Normalize width, unify punctuation rules; ensure same analyzer |
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| zh-Hans vs zh-Hant documents never co-retrieve | Variant mapping missing | Map variants at ingest or add alias field; verify embeddings share policy |
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---
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## Fix in 60 seconds
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1. **Measure ΔS**
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Compute ΔS(question, retrieved) with current locale. Re-run with a **canonicalized query**: ISO dates, normalized numbers, consistent case-folding. If ΔS drops by ≥ 0.10, locale drift is your root cause.
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2. **Probe λ\_observe**
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Flip only the locale-sensitive tokens (date, number, currency symbol, diacritics). If λ flips or citations jump, lock schema and fix normalization before touching rerankers.
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3. **Apply the smallest structural change**
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* Canonical numerics: convert decimals to `.` and thousands to thin-space or remove thousands.
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* Canonical dates: rewrite to `YYYY-MM-DD` and store a parsed date field for filters.
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* Case-folding: choose locale-aware rules where needed (`tr_TR` i/İ), else use simple lower with exceptions list.
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* Diacritics: either preserve and add an **accent-folded subfield**, or fold everywhere.
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* CJK: unify Simplified/Traditional mapping per field and keep a raw subfield.
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4. **Verify**
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Coverage ≥ 0.70 and ΔS ≤ 0.45 on three paraphrases and two seeds using both locale renderings.
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---
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## Minimal repair recipes by stack
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### Elasticsearch / OpenSearch
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* Define a canonical analyzer chain shared by `index` and `search_analyzer`. Suggested:
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ICU normalizer (NFC) → width fold → optional accent fold (or keep + keyword subfield) → locale-aware lowercase.
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* Add **numeric and date normalizers** in an ingest pipeline. Persist ISO strings, plus typed fields for range queries.
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* For German and Turkish, use dedicated token filters (`german_normalization`, custom fold for Turkish i/İ).
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* For Chinese, Japanese: keep a keyword subfield for exact product names and a bigram analyzer for recall.
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Open: [retrieval-playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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### BM25 in code or light stores
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* Pre-normalize text and queries with a single code path:
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ISO dates, canonical numerics, consistent punctuation width, optional accent fold, locale-aware lower.
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* Log the **effective tokens** to verify identical behavior across runs.
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Open: [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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### Vector stores (FAISS, Milvus, Qdrant, Weaviate, pgvector)
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* Apply **the same locale normalization** before embedding for both corpus and queries.
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* For numerics and dates, consider **lexical sidecar** (BM25) to capture exact forms, then deterministic rerank.
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* Re-embed a gold slice to validate ΔS before full rebuild.
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Open: [pattern\_vectorstore\_fragmentation.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_vectorstore_fragmentation.md)
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---
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## Locale normalization policy — quick checklist
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* Dates stored and queried as ISO `YYYY-MM-DD`; display can be localized later.
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* Numerics use `.` as decimal; thousands removed or unified; currency symbol separated from amount.
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* Case-folding policy documented; Turkish special-case applied where needed.
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* Accent policy consistent: preserve + accent-folded subfield, or fold globally.
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* CJK variant policy decided (Hans/Hant) and applied at both ingest and query.
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* Punctuation width unified; zero-width and bidi controls stripped where not meaningful.
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* Analyzer identity enforced across index and search paths.
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---
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## Diagnostic checklist
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* Same **normalization code** runs in ingest and in query clients.
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* Same **analyzer configuration** used for the field in both `index_analyzer` and `search_analyzer`.
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* Logging proves that **effective tokens** match across locales for the same meaning.
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* Citations remain in the same section after locale canonicalization.
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* Rerank stage reads **normalized text**, not raw payloads.
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---
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## Copy-paste tests
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**Locale flip probe**
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```
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Q0: original user query as typed (locale A)
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Q1: ISO date, canonical number, same words (locale neutral)
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Q2: render in locale B (date/number style only)
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Return ΔS for Q0,Q1,Q2, λ_state per run, and a note if citations left the target section.
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```
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**Turkish i/İ sanity**
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```
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Build two forms: 'istanbul', 'İstanbul'.
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Verify tokens and matches are identical against titles and anchor fields.
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If not, log analyzer outputs and apply a Turkish-aware fold.
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```
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**Accent policy audit**
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```
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Index doc: 'café', 'résumé'.
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Queries: 'cafe', 'resume', original diacritics.
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Expect both forms to match the same snippet and citations to remain stable.
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```
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---
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## When to escalate
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* ΔS stays ≥ 0.60 after locale normalization and analyzer alignment.
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Re-chunk with stable boundaries and re-embed a gold slice.
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Open: [chunking-checklist.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md)
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* Answers alternate between locales while citations drift.
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Enforce snippet schema and forbid cross-section reuse.
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Open: [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md), [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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* Hybrid retrieval still underperforms a single retriever after fixes.
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Align locale rules before rerank and make rerank deterministic.
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Open: [rerankers.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
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---
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### 🔗 Quick-Start Downloads (60 sec)
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| Tool | Link | 3-Step Setup |
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| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
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| **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \<your question>” |
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| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
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---
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### 🧭 Explore More
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| Module | Description | Link |
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| ------------------------ | ---------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- |
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| WFGY Core | WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack | [View →](https://github.com/onestardao/WFGY/tree/main/core/README.md) |
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| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
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| Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) |
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| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
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| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
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| Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5/README.md) |
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| 🧙♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through | [Start →](https://github.com/onestardao/WFGY/blob/main/StarterVillage/README.md) |
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---
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> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** <img src="https://img.shields.io/github/stars/onestardao/WFGY?style=social" alt="GitHub stars"> ⭐ [WFGY Engine 2.0](https://github.com/onestardao/WFGY/blob/main/core/README.md) is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the [Unlock Board](https://github.com/onestardao/WFGY/blob/main/STAR_UNLOCKS.md).
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<div align="center">
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[](https://github.com/onestardao/WFGY)
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[](https://github.com/onestardao/WFGY/tree/main/OS)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
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</div>
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