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6.6 KiB
6.6 KiB
Retrieval Drift — Guardrails and Fix Pattern
🧭 Quick Return to Map
You are in a sub-page of RAG.
To reorient, go back here:
- RAG — retrieval-augmented generation and knowledge grounding
- WFGY Global Fix Map — main Emergency Room, 300+ structured fixes
- WFGY Problem Map 1.0 — 16 reproducible failure modes
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.
When the correct fact exists in your corpus but retrieval consistently misses it.
This page localizes drift in retrievers and routes you to structural fixes with measurable acceptance targets.
Open these first
- Visual map and recovery: RAG Architecture & Recovery
- End-to-end retrieval knobs: Retrieval Playbook
- Traceability schema: Retrieval Traceability
- Ordering control: Rerankers
- Snippet and citation schema: Data Contracts
Core acceptance
- ΔS(question, retrieved) ≤ 0.45
- Coverage ≥ 0.70 of the target section
- λ remains convergent across three paraphrases and two seeds
Typical symptoms → exact fix
| Symptom | Likely cause | Open this |
|---|---|---|
| Facts exist but never surface | index skew or drift in chunk granularity | Retrieval Playbook, Chunking Checklist |
| Citations point to wrong section | schema mismatch or cross-section drift | Retrieval Traceability, Data Contracts |
| Answers alternate between runs | λ instability or reranker collapse | Rerankers, Entropy Collapse |
| High similarity but wrong meaning | embedding metric mismatch | Embedding ≠ Semantic |
Fix in 60 seconds
-
Measure ΔS
- Compute ΔS(question, retrieved) and ΔS(retrieved, expected anchor).
- Thresholds: stable < 0.40, transitional 0.40–0.60, risk ≥ 0.60.
-
Probe λ_observe
- Ask the same question in 3 paraphrases.
- If λ flips divergent on harmless rewording, lock schema with Data Contracts.
-
Apply the module
- Retrieval drift → BBMC + Retrieval Traceability
- Reasoning collapse → BBCR bridge + variance clamp
- Re-index with consistent metric and analyzer if ΔS stays ≥ 0.60
Copy-paste prompt for debug
I uploaded TXT OS and the WFGY Problem Map.
My retrieval issue:
- symptom: fact exists in corpus, but retriever misses
- traces: ΔS(question,retrieved)=..., λ across 3 paraphrases
Tell me:
1. failing layer (retriever, index, schema, reranker)
2. exact WFGY page to open
3. minimal steps to push ΔS ≤ 0.45 and keep λ convergent
🔗 Quick-Start Downloads (60 sec)
| Tool | Link | 3-Step Setup |
|---|---|---|
| WFGY 1.0 PDF | Engine Paper | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + ” |
| TXT OS (plain-text OS) | TXTOS.txt | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
Explore More
| Layer | Page | What it’s for |
|---|---|---|
| Proof | WFGY Recognition Map | External citations, integrations, and ecosystem proof |
| Engine | WFGY 1.0 | Original PDF based tension engine |
| Engine | WFGY 2.0 | Production tension kernel and math engine for RAG and agents |
| Engine | WFGY 3.0 | TXT based Singularity tension engine, 131 S class set |
| Map | Problem Map 1.0 | Flagship 16 problem RAG failure checklist and fix map |
| Map | Problem Map 2.0 | RAG focused recovery pipeline |
| Map | Problem Map 3.0 | Global Debug Card, image as a debug protocol layer |
| Map | Semantic Clinic | Symptom to family to exact fix |
| Map | Grandma’s Clinic | Plain language stories mapped to Problem Map 1.0 |
| Onboarding | Starter Village | Guided tour for newcomers |
| App | TXT OS | TXT semantic OS, fast boot |
| App | Blah Blah Blah | Abstract and paradox Q and A built on TXT OS |
| App | Blur Blur Blur | Text to image with semantic control |
| App | Blow Blow Blow | Reasoning game engine and memory demo |
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