📒 Problem #5 · High Vector Similarity, Wrong Meaning
Classic RAG scores chunks by cosine similarity—close vectors ≠ correct logic.
Result: “looks relevant” chunks that derail answers. WFGY replaces surface matching with semantic residue checks.
🤔 Why Cosine Match Misleads
| Weakness |
Practical Failure |
| Embedding ≠ Understanding |
Cosine overlap captures phrasing, not intent |
| Keywords ≠ Intent |
Ambiguous terms bring unrelated chunks |
| No Semantic Guard |
System never validates logical fit |
⚠️ Example Mis‑Retrieval
User: “How do I cancel my subscription after the free trial?”
Retrieved chunk: “Subscriptions renew monthly or yearly, depending on plan.”
→ High cosine, zero help → hallucinated answer.
🛡️ WFGY Fix · BBMC Residue Minimization
B = I - G + m·c² # minimize ‖B‖
| Symbol |
Meaning |
| I |
Input semantic vector |
| G |
Ground‑truth anchor (intent) |
| B |
Semantic residue (error) |
- Large ‖B‖ → chunk is semantically off → WFGY rejects or asks for context.
🔍 Key Defenses
| Layer |
Action |
| BBMC |
Computes residue; filters divergent chunks |
| ΔS Threshold |
Rejects high semantic tension (ΔS > 0.6) |
| BBAM |
Down‑weights misleading high‑attention tokens |
| Tree Anchor |
Confirms chunk aligns with prior logic path |
✍️ Quick Repro (1 min)
1️⃣ Start
> Start
2️⃣ Paste misleading chunk
> "Plans include yearly renewal."
3️⃣ Ask
> "How do I cancel a free trial?"
WFGY:
• ΔS high → chunk rejected
• Prompts for trial‑specific info instead of hallucinating
🔬 Sample Output
Surface overlap detected, but content lacks trial‑cancellation detail.
Add a policy chunk on trial termination or rephrase the query.
🛠 Module Cheat‑Sheet
| Module |
Role |
| BBMC |
Residue minimization |
| ΔS Metric |
Measures semantic tension |
| BBAM |
Suppresses noisy tokens |
| Semantic Tree |
Validates anchor alignment |
📊 Implementation Status
| Feature |
State |
| BBMC residue calc |
✅ Stable |
| ΔS filter |
✅ Stable |
| Token attention modulation |
⚠️ Basic |
| Misleading chunk rejection |
✅ Active |
🔗 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 + <your question>” |
| TXT OS (plain-text OS) |
TXTOS.txt |
1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
Explore More
| Module |
Description |
Link |
| WFGY Core |
Canonical framework entry point |
View |
| Problem Map |
Diagnostic map and navigation hub |
View |
| Tension Universe Experiments |
MVP experiment field |
View |
| Recognition |
Where WFGY is referenced or adopted |
View |
| AI Guide |
Anti-hallucination reading protocol for tools |
View |
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