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125 lines
4.9 KiB
Markdown
125 lines
4.9 KiB
Markdown
# 📒 Problem #1 · Hallucination from Irrelevant Chunks
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Even with fancy embeddings and top‑k retrieval, RAG systems still hallucinate—**LLMs answer confidently with facts nowhere in the source**.
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WFGY adds a semantic firewall that spots bad chunks before they poison the answer.
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---
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## 🤔 Why Do Classic RAG Pipelines Hallucinate?
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| Failure Mode | Real‑World Effect |
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|--------------|-------------------|
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| **Vector ≠ Meaning** | Cosine says “close,” but the chunk adds no logical value |
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| **No Tension Check** | Model never measures how far it drifts from the question |
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| **Zero Fallback** | When the answer is unstable, the LLM keeps talking instead of pausing |
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---
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## 🛡️ WFGY Three‑Layer Fix
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| Layer | Action | Trigger |
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|-------|--------|---------|
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| **ΔS Meter** | Quantifies semantic jump Q ↔ chunk | `ΔS > 0.6` |
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| **λ_observe** | Flags divergent / chaotic logic flow | Divergent + high ΔS |
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| **BBCR Reset** | Re‑anchor, ask for context, or halt output | Instability detected |
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---
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## ✍️ Reproduce in 60 sec
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```txt
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Start ▸ Paste chunk ▸ Ask question
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1️⃣ Start TXT OS
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> Start
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2️⃣ Paste a misleading chunk
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> "Company handbook covers refunds through retail partners…"
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3️⃣ Ask an unrelated question
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> "What is the international warranty for direct purchases?"
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WFGY:
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• ΔS → high • λ_observe → divergent • Returns a clarification prompt
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````
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---
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## 🔬 Before vs. After
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> **Typical RAG:**
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> “Yes, we offer a 5‑year international warranty on all items.”
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> **WFGY:**
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> “The provided content doesn’t mention international warranty.
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> Add a direct‑purchase policy chunk or clarify intent.”
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Semantic integrity—no polite hallucination.
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---
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## 🛠 Module Cheat‑Sheet
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| Module | Role |
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| ----------------- | ------------------------------ |
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| **BBMC** | Minimizes semantic residue |
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| **BBCR** | Collapse–Rebirth logic reset |
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| **λ\_observe** | Monitors logic direction |
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| **ΔS Metric** | Measures semantic jump |
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| **Semantic Tree** | Records & backtracks reasoning |
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---
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## 📊 Implementation Status
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| Item | State |
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| --------------------- | ---------- |
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| ΔS detection | ✅ Stable |
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| λ\_observe | ✅ Stable |
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| BBCR reset | ✅ Stable |
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| Auto fallback prompt | ✅ Basic |
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| Retriever auto‑filter | 🛠 Planned |
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---
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## 📝 Tips & Limits
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* Works even with manual paste—retriever optional.
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* If the retriever feeds garbage, WFGY blocks hallucination but **can’t auto‑rechunk**—that lands with the upcoming Chunk‑Mapper firewall.
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* Share tricky traces in **Discussions**; real logs sharpen ΔS thresholds.
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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 tension engine and early logic sketch (legacy reference) |
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| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
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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 taxonomy and fix map |
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| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
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| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
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| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
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| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
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| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
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| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
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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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