WFGY/ProblemMap/GlobalFixMap/RAG/README.md
2025-09-01 10:14:07 +08:00

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RAG — Global Fix Map

A focused hub for Retrieval-Augmented Generation failures.
Use this folder when answers exist in the corpus but retrieval or evaluation drifts. Each page gives precise guardrails, measurable acceptance targets, and direct links to structural fixes.


When to use this folder

  • Correct facts exist in the corpus but never appear in answers.
  • Citations break, hallucinations creep in, or snippets drift.
  • Hybrid retrievers perform worse than single retrievers.
  • Index looks healthy but coverage remains low.
  • Evaluation metrics vary wildly across identical runs.

Acceptance targets

  • ΔS(question, retrieved) ≤ 0.45
  • Coverage of target section ≥ 0.70
  • λ remains convergent across 3 paraphrases and 2 seeds
  • Eval variance ≤ 0.05 across 5 replays

Quick routes to per-page guides


🔗 Quick-Start Downloads (60 sec)

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

🧭 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 →

👑 Early Stargazers: See the Hall of Fame
WFGY Engine 2.0 is already unlocked.

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