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105 lines
6.9 KiB
Markdown
105 lines
6.9 KiB
Markdown
# RAG + VectorDB — Global Fix Map
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A hub to stabilize retrieval pipelines at the **embedding ↔ vector store layer**.
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Use this folder when retrieval looks healthy on paper but citations, meaning, or stability collapse in practice.
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Every fix is structural, measurable, and store-agnostic.
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---
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## Quick routes to per-page guides
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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 ↔ 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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* Vectorstore fragmentation → [vectorstore_fragmentation.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/RAG_VectorDB/vectorstore_fragmentation.md)
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* Dimension mismatch / projection errors → [dimension_mismatch_and_projection.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/RAG_VectorDB/dimension_mismatch_and_projection.md)
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* Update drift and index skew → [update_and_index_skew.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/RAG_VectorDB/update_and_index_skew.md)
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* Hybrid retriever weight errors → [hybrid_retriever_weights.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/RAG_VectorDB/hybrid_retriever_weights.md)
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* Duplication / near-duplicate collapse → [duplication_and_near_duplicate_collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/RAG_VectorDB/duplication_and_near_duplicate_collapse.md)
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* Poisoning and contamination → [poisoning_and_contamination.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/RAG_VectorDB/poisoning_and_contamination.md)
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---
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## When to use this folder
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- High similarity but wrong meaning.
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- Correct facts exist in the corpus but never surface.
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- Citations inconsistent or missing across runs.
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- Token count spikes after deploy without corpus changes.
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- Index “looks fine” yet coverage stays flat.
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- Retrieval quality drifts after updates or merges.
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- Hybrid retrievers underperform single retrievers.
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- Duplicate or poisoned vectors destabilize the store.
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---
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## Acceptance targets (store-agnostic)
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- ΔS(question, retrieved) ≤ **0.45**
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- Coverage of target section ≥ **0.70**
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- λ stays convergent across **3 paraphrases** and **2 seeds**
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- E_resonance flat across long windows
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- Index skew ≤ **5%** after updates
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---
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## 60-second checklist
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1. Lock **metric** and **analyzer** (cosine vs L2 vs dot).
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2. Normalize embeddings (L2 norm, zero-mean scaling).
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3. Align tokenization and casing with retriever.
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4. Enforce chunking ↔ embedding contract.
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5. Probe ΔS across paraphrases. If ≥0.60, escalate.
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6. Audit duplication and contamination (hash and dedupe).
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7. Monitor index skew after every update.
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8. Verify hybrid retriever weights explicitly.
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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)** —
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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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