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153 lines
6.9 KiB
Markdown
153 lines
6.9 KiB
Markdown
# Eval RAG Precision & Recall — Guardrails and Fix Patterns
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<details>
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<summary><strong>🧭 Quick Return to Map</strong></summary>
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<br>
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> You are in a sub-page of **Eval**.
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> To reorient, go back here:
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>
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> - [**Eval** — model evaluation and benchmarking](./README.md)
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> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
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> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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>
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> Think of this page as a desk within a ward.
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> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
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</details>
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> **Evaluation disclaimer (RAG precision and recall)**
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> Precision and recall here are computed in a controlled RAG scenario with specific data and judgement rules.
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> They should be used to debug retrieval behavior, not as general claims about model intelligence.
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---
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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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<!-- WFGY_FOOTER_START -->
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### Explore More
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| Layer | Page | What it’s for |
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| --- | --- | --- |
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| Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
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| Engine | [WFGY 1.0](/legacy/README.md) | Original PDF based tension engine |
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| Engine | [WFGY 2.0](/core/README.md) | Production tension kernel and math engine for RAG and agents |
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| Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine, 131 S class set |
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| Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure checklist and fix map |
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| Map | [Problem Map 2.0](/ProblemMap/rag-architecture-and-recovery.md) | RAG focused recovery pipeline |
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| Map | [Problem Map 3.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card, image as a debug protocol layer |
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| Map | [Semantic Clinic](/ProblemMap/SemanticClinicIndex.md) | Symptom to family to exact fix |
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| Map | [Grandma’s Clinic](/ProblemMap/GrandmaClinic/README.md) | Plain language stories mapped to Problem Map 1.0 |
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| Onboarding | [Starter Village](/StarterVillage/README.md) | Guided tour for newcomers |
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| App | [TXT OS](/OS/README.md) | TXT semantic OS, fast boot |
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| App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q and A built on TXT OS |
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| App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image with semantic control |
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| App | [Blow Blow Blow](/OS/BlowBlowBlow/README.md) | Reasoning game engine and memory demo |
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If this repository helped, starring it improves discovery so more builders can find the docs and tools.
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[](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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