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ProblemMap/GlobalFixMap/Eval/eval_rag_precision_recall.md
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# Eval RAG Precision & Recall — Guardrails and Fix Patterns
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This page defines how to measure **precision and recall** in RAG pipelines under the WFGY framework. It sets acceptance thresholds, common pitfalls, and structural fixes to keep evaluations meaningful and reproducible.
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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 contract: [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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* Traceability schema: [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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* Embedding drift: [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
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* Hallucination boundaries: [Hallucination](https://github.com/onestardao/WFGY/blob/main/ProblemMap/hallucination.md)
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---
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## Acceptance targets
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* **Precision ≥ 0.75** at citation level
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* **Recall ≥ 0.70** of gold anchor snippets
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* **ΔS(question, retrieved) ≤ 0.45** for majority of pairs
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* **λ remains convergent** across 3 paraphrases and 2 random seeds
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* Evaluations must be **auditable & reproducible** with JSON logs
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---
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## Why precision/recall break in RAG
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1. **Goldset drift**
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Anchors no longer align with the corpus after updates.
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→ Fix: refresh goldsets with [goldset\_curation.md](./goldset_curation.md).
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2. **Retrieval contract missing**
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Snippet payloads do not include section IDs or offsets.
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→ Fix: enforce [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md).
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3. **Precision false positives**
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Semantically near matches but wrong factual anchor.
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→ Fix: rerank with [Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md).
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4. **Recall false negatives**
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Correct snippet exists but chunking or index prevents surfacing.
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→ Fix: re-chunk corpus with [chunking-checklist.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md).
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5. **Evaluation noise**
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Different seeds or paraphrases give unstable results.
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→ Fix: clamp λ variance with [variance\_and\_drift.md](../Eval_Observability/variance_and_drift.md).
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---
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## Quick workflow
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1. **Load goldset**
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Each gold QA item must cite `snippet_id`, `section_id`, `source_url`.
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2. **Run retrieval**
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Collect top-k results (k = 5, 10, 20).
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3. **Log ΔS & λ**
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For each query and paraphrase, record ΔS values and λ states.
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4. **Compute metrics**
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* Precision = correct citations / total citations
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* Recall = correct citations / gold references
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5. **Regression gate**
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Block deploy if precision < 0.75 or recall < 0.70.
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---
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## Example JSON log
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```json
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{
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"question": "What causes hallucination re-entry?",
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"gold": ["hallucination-reentry"],
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"retrieved": ["hallucination-reentry", "entropy-drift"],
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"precision": 0.50,
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"recall": 1.00,
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"ΔS": 0.38,
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"λ_state": "→"
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}
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```
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---
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## Common pitfalls
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* **Evaluating only precision** → recall collapses unnoticed.
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* **Counting fuzzy hits** as correct → ΔS may be high, but factually wrong.
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* **No paraphrases tested** → λ instability hidden.
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* **Relying on one seed** → fragile numbers that don’t generalize.
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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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