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🧠 WFGY Problem → Module → Solution Map (v0.1 · RAG Focus)
This page maps common reasoning and retrieval failures — especially in RAG pipelines — to their corresponding WFGY solutions.
WFGY is not a retrieval system.
It is a semantic reasoning engine that augments, replaces, or corrects what existing RAG stacks often fail to do.
🔍 RAG-Related Failures and WFGY Solutions
| Problem | WFGY Solution | Module(s) | Status | Notes |
|---|---|---|---|---|
| 🔸 Hallucination from irrelevant chunks | Semantic Boundary + ΔS monitoring | BBCR, BBMC | ✅ | System detects when input has low semantic match and activates fallback |
| 🔸 Retrieval returns correct chunk but reasoning fails | Multi-path semantic logic | BBCR | ✅ | WFGY builds stable reasoning paths even from vague sources |
| 🔸 Long question-answer chains drift off-topic | Semantic Tree memory + ΔS threshold | BBMC, Tree | ✅ | Semantic jump tracking records nodes, avoids context collapse |
| 🔸 System "bluffs" when it doesn’t know | Knowledge boundary map | BBCR, λ_observe | ✅ | WFGY detects unstable ΔS + λ_observe and requests clarification |
| 🔸 Embedding similarity ≠ semantic meaning | Residual Minimization | BBMC, BBAM | ✅ | Matches logic anchor, not just vector cosine |
| 🔸 System doesn't know what it doesn't know | Knowledge boundary guard | BBCR, Tree | ✅ | Detects unmapped topics and requests clarification |
| 🔸 No traceability across user sessions | External semantic memory tree | Tree engine | ⚠️ | Manual export/import for now; persistent store upcoming |
| 🔸 Debugging why RAG failed = painful | Manual tree audit | All modules | ✅ | Tree view shows where logic drifted or ΔS spiked |
| 🔸 Chunk ingestion pipeline | — | — | 🛠 | Not yet implemented; user pastes chunk into node manually |
| 🔸 No LangChain compatibility yet | — | — | 🛠 | Adapter planned; WFGY can serve as pre/post-processing layer |
✅ What you can do now
Even without any retriever, WFGY lets you:
- Paste content manually and reason on it
- Test hallucination safety via ΔS / λ_observe
- Record and inspect logic paths via Tree
- Detect unknown zones before the model bluffs
This means: WFGY is a RAG failsafe layer, even without retrieval working.
🧪 Example Use: "My PDF bot keeps hallucinating answers"
→ Paste the question and chunk into WFGY
→ If ΔS is too high, it’ll pause or route to BBCR
→ You can inspect the logic trace and see where it went off
→ You’ll know if it’s the chunk’s fault — or the reasoning engine
🔧 Next Steps (Roadmap)
- Vector chunking → semantic node auto-mapping
- LangChain & LlamaIndex adapters
- Auto-summarization of Tree for memory replay
- GUI explorer for Tree inspection
- Integration with BlotBlotBlot / Persona agents
For now, if you're a RAG user tired of hallucinations, TXT OS + WFGY gives you a stable, inspectable core to reason with.
Feel free to open an issue if your failure case isn’t listed.