WFGY/ProblemMap/GlobalFixMap/Embeddings

Embeddings — Global Fix Map

A hub to stabilize embedding pipelines across stores and retrievers. Use this page to jump to per-tool guardrails and verify fixes with the same acceptance targets.

Quick routes to per-page fixes

• Metric mismatch → metric_mismatch.md
• Normalization and scaling → normalization_and_scaling.md
• Tokenization and casing → tokenization_and_casing.md
• Chunking to embedding contract → chunking_to_embedding_contract.md
• Vectorstore fragmentation → vectorstore_fragmentation.md
• Dimension mismatch and projection → dimension_mismatch_and_projection.md
• Update and index skew → update_and_index_skew.md
• Hybrid retriever weights → hybrid_retriever_weights.md
• Duplication and near-duplicate collapse → duplication_and_near_duplicate_collapse.md
• Poisoning and contamination → poisoning_and_contamination.md

When to use this folder

• High similarity yet wrong meaning.
• Citations do not line up with the retrieved section.
• Hybrid retrievers underperform a single retriever.
• Quality drops after re-embed or re-index.
• Index looks healthy but coverage stays low.

Acceptance targets

• ΔS(question, retrieved) ≤ 0.45
• Coverage of target section ≥ 0.70
• λ remains convergent across 3 paraphrases and 2 seeds
• E_resonance flat on long windows

60-second checklist

1. Metrics and analyzer sanity → metric_mismatch.md
2. Normalize and rescale vectors → normalization_and_scaling.md
3. Unify tokenization and casing → tokenization_and_casing.md
4. Lock the chunk→embed contract → chunking_to_embedding_contract.md
5. Defragment the store → vectorstore_fragmentation.md
6. Fix dimension and projection paths → dimension_mismatch_and_projection.md
7. Repair update and index skew → update_and_index_skew.md
8. Rebalance hybrid retrievers → hybrid_retriever_weights.md
9. Collapse near-duplicates → duplication_and_near_duplicate_collapse.md
10. Audit poisoning and contamination → poisoning_and_contamination.md

Map symptoms to structural fixes

• Wrong-meaning hits despite high similarity
  → embedding-vs-semantic.md
• Unverifiable citations or snippet drift
  → retrieval-traceability.md · data-contracts.md
• Results flip across runs or small paraphrases
  → context-drift.md · entropy-collapse.md · rerankers.md
• Hallucination re-entry after correction
  → pattern_hallucination_reentry.md

Verify the fix

• Log ΔS and λ for three paraphrases and two seeds.
• Require coverage ≥ 0.70 and ΔS ≤ 0.45 before publish.
• Keep a small gold set to re-test after any change to metric, tokenizer, or chunking.

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🔗 Quick-Start Downloads (60 sec)

Tool	Link	3-Step Setup
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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

Module	Description	Link
WFGY Core	WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack	View →
Problem Map 1.0	Initial 16-mode diagnostic and symbolic fix framework	View →
Problem Map 2.0	RAG-focused failure tree, modular fixes, and pipelines	View →
Semantic Clinic Index	Expanded failure catalog: prompt injection, memory bugs, logic drift	View →
Semantic Blueprint	Layer-based symbolic reasoning & semantic modulations	View →
Benchmark vs GPT-5	Stress test GPT-5 with full WFGY reasoning suite	View →
🧙‍♂️ Starter Village 🏡	New here? Lost in symbols? Click here and let the wizard guide you through	Start →

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