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ProblemMap/GlobalFixMap/RAG_VectorDB/update_and_index_skew.md
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# Update and Index Skew — Guardrails and Fix Pattern
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Use this page when **recall flips or citations drift after a data or model update**.
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Skew appears when writers and readers see different corpus revisions, or when the index was rebuilt with changed params without a cutover plan.
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---
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## Open these first
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- Visual map and recovery: [RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md)
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- Retrieval knobs: [retrieval-playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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- Vector store fragmentation: [vectorstore_fragmentation.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/RAG_VectorDB/vectorstore_fragmentation.md)
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- Metric mismatch: [metric_mismatch.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/RAG_VectorDB/metric_mismatch.md)
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- Normalization and scaling: [normalization_and_scaling.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/RAG_VectorDB/normalization_and_scaling.md)
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- Tokenization and casing: [tokenization_and_casing.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/RAG_VectorDB/tokenization_and_casing.md)
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- Chunking to embedding contract: [chunking_to_embedding_contract.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/RAG_VectorDB/chunking_to_embedding_contract.md)
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---
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## Core acceptance
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- Single **INDEX_HASH** is identical for writer, retriever, reranker, and LLM side prompts.
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- ΔS(question, retrieved) ≤ 0.45 on 3 paraphrases and 2 seeds after the update.
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- Coverage ≥ 0.70 to the target section, stable across shards and regions.
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- λ remains convergent during the cutover window, no flip states at header reorder.
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---
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## Symptoms → likely cause → open this
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- Results differ between two identical queries minutes apart
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→ mixed corpus revisions or warm readers on stale index
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→ [retrieval-playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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- Top-k looks similar in distance yet meaning is off after upgrade
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→ metric or normalization changed during rebuild
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→ [metric_mismatch.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/RAG_VectorDB/metric_mismatch.md), [normalization_and_scaling.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/RAG_VectorDB/normalization_and_scaling.md)
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- Some shards return old docs, others new ones
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→ partial index redeploy or cache warmup skew
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→ [vectorstore_fragmentation.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/RAG_VectorDB/vectorstore_fragmentation.md)
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- After model switch, recall falls only on certain languages or code blocks
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→ tokenizer or casing schema diverged
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→ [tokenization_and_casing.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/RAG_VectorDB/tokenization_and_casing.md)
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- Large jump in ΔS on long windows, citations no longer align
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→ chunk schema changed but old vectors remain
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→ [chunking_to_embedding_contract.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/RAG_VectorDB/chunking_to_embedding_contract.md)
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---
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## Fix in 60 seconds
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1) **Pin the contract**
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Compute `INDEX_HASH = sha256(model_id + tokenizer_ver + chunk_schema + metric + dim + store_params + corpus_rev)`.
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Log it on writer, retriever, reranker, and in the LLM prompt header.
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2) **Shadow read**
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Run a gold set against current index and a rebuilt index in parallel.
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Alert if ΔS variance > 0.05 or coverage drops below 0.70.
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3) **Freeze and rebuild**
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Stop writes. Re-embed and rebuild offline with explicit `dim`, `metric`, and `normalization`.
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Verify tokenizer and casing are identical to the previous contract.
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4) **Cutover with warmup**
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Warm the new index. Switch read traffic via percentage ramp.
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Abort if λ flips or ΔS exceeds 0.60 on any guardrail probe.
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---
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## Minimal checks you must script
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- **Contract echo**
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Every query path must log `INDEX_HASH`, `MODEL_ID`, `TOKENIZER_VER`, `CHUNK_SCHEMA_VER`.
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- **Shard parity probe**
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Run the same 25 queries to each shard or region.
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Flag if Jaccard(top-k) < 0.6 against the reference shard.
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- **Cache invalidation**
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Clear reranker and query embedding caches when `INDEX_HASH` changes.
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- **Reader staleness**
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Reject queries if `reader_index_hash != router_index_hash`. Fail fast, do not serve stale.
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---
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## Common gotchas
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- Silent analyzer change in a search backend re-tokenizes text while vectors are unchanged.
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- HNSW or IVF params differ between shards, causing order instability at k=10 but not at k=3.
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- APM dashboards show healthy ingestion yet the retriever reads from a lagging replica.
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- Reranker model upgraded without re-baselining acceptance targets.
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- Partial re-embed of only new docs creates a semantic seam at time T.
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---
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## Verification
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- Gold set of 100 questions, 3 paraphrases each.
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- Require ΔS ≤ 0.45 and coverage ≥ 0.70 on both old and new indexes before cutover.
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- After cutover, repeat on two seeds. If λ remains convergent and ΔS does not spike, close the change.
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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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---
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> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
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> Engineers, hackers, and open source builders who supported WFGY from day one.
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> <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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