🧭 Quick Return to Map
You are in a sub-page of Agents & Orchestration.
To reorient, go back here:
- Agents & Orchestration — orchestration frameworks and guardrails
- 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.
Use this when your pipeline is built with deepset Haystack Agents and Tools and you observe wrong snippets, unstable top k orders, tool loops, or citation gaps. The map below routes symptoms to exact WFGY fixes.
- Visual map and recovery: RAG Architecture & Recovery
- Retrieval knobs: Retrieval Playbook
- Traceability schema: Retrieval Traceability
- Schema contracts: Data Contracts
- Hybrid control: Rerankers
- Chunking and hallucination: Hallucination
- ΔS(question, retrieved) ≤ 0.45
- Coverage ≥ 0.70 for the intended section
- λ convergent across three paraphrases
-
Measure ΔS
Compare question to retrieved and to the intended anchor. -
Lock the pipeline
Fix the header order. Enforce cite-first. Require strict tool JSON. -
Apply the module
- Retrieval drift → BBMC plus Data Contracts
- Order instability → add Rerankers with explicit metric
- Hybrid regression → Query Parsing Split
- Verify
Three paraphrases pass ΔS and coverage thresholds.
-
Retriever pipelines mix different analyzers
Rebuild with a unified analyzer and metric.
Open: Embedding ≠ Semantic -
Agent loops on tool outputs
Add BBCR bridge steps and timeouts.
Open: Multi-Agent Problems -
Citations missing or misaligned
Enforce snippet schema and cite then explain.
Open: Retrieval Traceability, Data Contracts -
Hybrid search underperforms
Use deterministic reranking with score normalization.
Open: Rerankers
Pipeline:
- Retriever(k sweep 5, 10, 20 with one analyzer)
- Prompt with fixed headers: system → task → constraints → citations → answer
- Model call
- WFGY gate to compute ΔS and log λ
- Stop when ΔS ≥ 0.60 or λ divergent and return fix tip- Mixing BM25 and dense without normalization gives unstable orders.
- Tool output not validated causes downstream JSON errors.
- Document stores with heterogeneous tokenization contaminate scores.
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Persistent ΔS ≥ 0.60 after chunk and metric fixes Open: Retrieval Playbook
-
Live flips between runs Open: Pre-Deploy Collapse
| 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 |
| Layer | Page | What it’s for |
|---|---|---|
| ⭐ Proof | WFGY Recognition Map | External citations, integrations, and ecosystem proof |
| ⚙️ Engine | WFGY 1.0 | Original PDF tension engine and early logic sketch (legacy reference) |
| ⚙️ Engine | WFGY 2.0 | Production tension kernel for RAG and agent systems |
| ⚙️ Engine | WFGY 3.0 | TXT based Singularity tension engine (131 S class set) |
| 🗺️ Map | Problem Map 1.0 | Flagship 16 problem RAG failure taxonomy and fix map |
| 🗺️ Map | Problem Map 2.0 | Global Debug Card for RAG and agent pipeline diagnosis |
| 🗺️ Map | Problem Map 3.0 | Global AI troubleshooting atlas and failure pattern map |
| 🧰 App | TXT OS | .txt semantic OS with fast bootstrap |
| 🧰 App | Blah Blah Blah | Abstract and paradox Q&A built on TXT OS |
| 🧰 App | Blur Blur Blur | Text to image generation with semantic control |
| 🏡 Onboarding | Starter Village | Guided entry point for new users |
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