mirror of
https://github.com/onestardao/WFGY.git
synced 2026-04-28 19:50:17 +00:00
150 lines
6.8 KiB
Markdown
150 lines
6.8 KiB
Markdown
# Eval RAG Precision & Recall — Guardrails and Fix Patterns
|
||
|
||
<details>
|
||
<summary><strong>🧭 Quick Return to Map</strong></summary>
|
||
|
||
<br>
|
||
|
||
> You are in a sub-page of **Eval**.
|
||
> To reorient, go back here:
|
||
>
|
||
> - [**Eval** — model evaluation and benchmarking](./README.md)
|
||
> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
|
||
> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
|
||
>
|
||
> Think of this page as a desk within a ward.
|
||
> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
|
||
</details>
|
||
|
||
> **Evaluation disclaimer (RAG precision and recall)**
|
||
> Precision and recall here are computed in a controlled RAG scenario with specific data and judgement rules.
|
||
> They should be used to debug retrieval behavior, not as general claims about model intelligence.
|
||
|
||
---
|
||
|
||
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.
|
||
|
||
---
|
||
|
||
## Open these first
|
||
|
||
* Visual map and recovery: [RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md)
|
||
* Retrieval contract: [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
|
||
* Traceability schema: [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
|
||
* Embedding drift: [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
|
||
* Hallucination boundaries: [Hallucination](https://github.com/onestardao/WFGY/blob/main/ProblemMap/hallucination.md)
|
||
|
||
---
|
||
|
||
## Acceptance targets
|
||
|
||
* **Precision ≥ 0.75** at citation level
|
||
* **Recall ≥ 0.70** of gold anchor snippets
|
||
* **ΔS(question, retrieved) ≤ 0.45** for majority of pairs
|
||
* **λ remains convergent** across 3 paraphrases and 2 random seeds
|
||
* Evaluations must be **auditable & reproducible** with JSON logs
|
||
|
||
---
|
||
|
||
## Why precision/recall break in RAG
|
||
|
||
1. **Goldset drift**
|
||
Anchors no longer align with the corpus after updates.
|
||
→ Fix: refresh goldsets with [goldset\_curation.md](./goldset_curation.md).
|
||
|
||
2. **Retrieval contract missing**
|
||
Snippet payloads do not include section IDs or offsets.
|
||
→ Fix: enforce [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md).
|
||
|
||
3. **Precision false positives**
|
||
Semantically near matches but wrong factual anchor.
|
||
→ Fix: rerank with [Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md).
|
||
|
||
4. **Recall false negatives**
|
||
Correct snippet exists but chunking or index prevents surfacing.
|
||
→ Fix: re-chunk corpus with [chunking-checklist.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md).
|
||
|
||
5. **Evaluation noise**
|
||
Different seeds or paraphrases give unstable results.
|
||
→ Fix: clamp λ variance with [variance\_and\_drift.md](../Eval_Observability/variance_and_drift.md).
|
||
|
||
---
|
||
|
||
## Quick workflow
|
||
|
||
1. **Load goldset**
|
||
Each gold QA item must cite `snippet_id`, `section_id`, `source_url`.
|
||
|
||
2. **Run retrieval**
|
||
Collect top-k results (k = 5, 10, 20).
|
||
|
||
3. **Log ΔS & λ**
|
||
For each query and paraphrase, record ΔS values and λ states.
|
||
|
||
4. **Compute metrics**
|
||
|
||
* Precision = correct citations / total citations
|
||
* Recall = correct citations / gold references
|
||
|
||
5. **Regression gate**
|
||
Block deploy if precision < 0.75 or recall < 0.70.
|
||
|
||
---
|
||
|
||
## Example JSON log
|
||
|
||
```json
|
||
{
|
||
"question": "What causes hallucination re-entry?",
|
||
"gold": ["hallucination-reentry"],
|
||
"retrieved": ["hallucination-reentry", "entropy-drift"],
|
||
"precision": 0.50,
|
||
"recall": 1.00,
|
||
"ΔS": 0.38,
|
||
"λ_state": "→"
|
||
}
|
||
```
|
||
|
||
---
|
||
|
||
## Common pitfalls
|
||
|
||
* **Evaluating only precision** → recall collapses unnoticed.
|
||
* **Counting fuzzy hits** as correct → ΔS may be high, but factually wrong.
|
||
* **No paraphrases tested** → λ instability hidden.
|
||
* **Relying on one seed** → fragile numbers that don’t generalize.
|
||
|
||
---
|
||
|
||
### 🔗 Quick-Start Downloads (60 sec)
|
||
|
||
| Tool | Link | 3-Step Setup |
|
||
| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
|
||
| **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>” |
|
||
| **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 |
|
||
|
||
---
|
||
|
||
<!-- WFGY_FOOTER_START -->
|
||
|
||
### Explore More
|
||
|
||
| Layer | Page | What it’s for |
|
||
| --- | --- | --- |
|
||
| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
|
||
| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
|
||
| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
|
||
| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
|
||
| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
|
||
| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
|
||
| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
|
||
| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
|
||
| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
|
||
| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
|
||
| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
|
||
|
||
If this repository helped, starring it improves discovery so more builders can find the docs and tools.
|
||
[](https://github.com/onestardao/WFGY)
|
||
|
||
<!-- WFGY_FOOTER_END -->
|
||
|