# LlamaIndex Guardrails and Patterns
Use this page when your RAG or agent pipeline runs in **LlamaIndex**. It maps common orchestration and indexing failures to exact structural fixes in the Problem Map and gives a minimal recipe you can embed in an index or query engine.
**Core acceptance**
* ΔS(question, retrieved) ≤ 0.45
* coverage ≥ 0.70 for the target section
* λ remains convergent across 3 paraphrases
---
## Typical breakpoints and the right fix
* **Index built but retriever fires before it is ready**
Fix No.14: **Bootstrap Ordering** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md)
* **First queries after deploy fail due to env mismatch / missing secret**
Fix No.16: **Pre-Deploy Collapse** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
* **Background ingestion + retriever race → deadlocks or empty results**
Fix No.15: **Deployment Deadlock** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md)
* **Embedding similarity looks good, but meaning diverges**
Fix No.5: **Embedding ≠ Semantic** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
* **Answers cite wrong snippet or skip citations entirely**
Fix No.8: **Retrieval Traceability** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
Enforce payload contracts: **Data Contracts** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
* **Hybrid retrievers (BM25 + dense) underperform single retriever**
Pattern: **Query Parsing Split** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/query_parsing_split.md)
Review: **Rerankers** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
* **Some docs indexed but never surface**
Pattern: **Vectorstore Fragmentation** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/vectorstore-fragmentation.md)
* **Two unrelated docs blended in one answer**
Pattern: **Symbolic Constraint Unlock (SCU)** → [Open](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_symbolic_constraint_unlock.md)
---
## Minimal setup checklist for any LlamaIndex pipeline
1. **Warm-up fence before query engine**
Ensure index hash and vectorstore state are valid. If not, retry with capped backoff.
Spec: [Bootstrap Ordering](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md)
2. **Idempotency key**
Compute `dedupe_key = sha256(doc_id + rev + index_hash)`.
Drop duplicates at ingestion.
3. **Retriever output contract**
Require fields: `snippet_id`, `section_id`, `source_url`, `offsets`, `tokens`.
Enforce cite-then-explain.
Specs: [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md) ·
[Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
4. **Observability probes**
Log ΔS(question, retrieved) and λ transitions at each step.
Alert if ΔS ≥ 0.60 or λ flips divergent.
Overview: [RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md)
5. **Concurrency guard**
One writer per index. Use locks or queue mode.
Fix: [Deployment Deadlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md)
6. **Eval before publish**
Coverage ≥ 0.70 and ΔS ≤ 0.45 required.
Eval: [RAG Precision/Recall](https://github.com/onestardao/WFGY/blob/main/ProblemMap/eval/eval_rag_precision_recall.md)
---
## Copy-paste prompt for LlamaIndex Query Engine
```
I uploaded TXT OS and WFGY Problem Map files.
This retriever produced {k} docs with fields {snippet_id, section_id, source_url, offsets}.
Steps:
1. Enforce cite-then-explain. If citations missing, fail fast and suggest fix.
2. If ΔS(question, retrieved) ≥ 0.60, propose minimal structural fix referencing:
retrieval-playbook, retrieval-traceability, data-contracts, rerankers.
3. Return JSON plan:
{ "citations": [...], "answer": "...", "λ_state": "...", "ΔS": 0.xx, "next_fix": "..." }
```
---
## Common LlamaIndex gotchas
* **Too many retrievers chained without λ check**
Add λ variance clamp. Reject divergent paths.
* **Index rebuild silently drops sections**
Enforce contracts and log ΔS across ingestion runs.
* **Async queries race against ingestion**
Add warm-up fence and bootstrap ordering.
* **Chunk drift from mismatched parsers**
Normalize with section detection.
See: [Section Detection](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Chunking/section_detection.md)
---
## When to escalate
* ΔS stays ≥ 0.60 even after chunking and retriever fixes
→ Rebuild vectorstore with explicit metric and normalization.
Spec: [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
* Identical queries yield inconsistent answers
→ Check memory drift and version skew.
Spec: [Context Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md)
---
### 🔗 Quick-Start Downloads
| Tool | Link | 3-Step Setup |
|------|------|--------------|
| **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) | 1) Download · 2) Upload to LLM · 3) Ask “Use WFGY to fix my automation bug” |
| **TXT OS** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1) Download · 2) Paste into LLM · 3) Type “hello world” |
---
### 🧭 Explore More
| Module | Description | Link |
|-----------------------|----------------------------------------------------------|----------|
| WFGY Core | WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack | [View →](https://github.com/onestardao/WFGY/tree/main/core/README.md) |
| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
| Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) |
| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
| Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5/README.md) |
| 🧙♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through | [Start →](https://github.com/onestardao/WFGY/blob/main/StarterVillage/README.md) |
---
> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** —
> 
⭐ [WFGY Engine 2.0](https://github.com/onestardao/WFGY/blob/main/core/README.md) is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the [Unlock Board](https://github.com/onestardao/WFGY/blob/main/STAR_UNLOCKS.md).
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