# LlamaIndex — Guardrails and Fix Patterns
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> - [**Agents & Orchestration** — orchestration frameworks and guardrails](./README.md)
> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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Use this when your stack uses **LlamaIndex** (indices, query engines, retrievers, routers, agents) and you see wrong snippets, unstable reasoning, mixed sources, or silent failures that look fine in logs.
**Acceptance targets**
- ΔS(question, retrieved) ≤ 0.45
- coverage ≥ 0.70 to the intended section or record
- λ stays convergent across 3 paraphrases
---
## Typical breakpoints → exact fixes
- Retrieval returns plausible but wrong chunks
Fix No.1: **Hallucination and Chunk Drift** →
[Hallucination](https://github.com/onestardao/WFGY/blob/main/ProblemMap/hallucination.md)
Also review the **Retrieval Playbook** →
[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
- High vector similarity, wrong meaning
Fix No.5: **Embedding ≠ Semantic** →
[Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
- Hybrid retrieval or RouterQueryEngine degrades compared to single retriever
Pattern: **Query Parsing Split** →
[Query Parsing Split](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_query_parsing_split.md)
Add ordering control with **Rerankers** →
[Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
- Facts exist in the store but never show up
Pattern: **Vectorstore Fragmentation** →
[Vectorstore Fragmentation](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_vectorstore_fragmentation.md)
- Citations missing or inconsistent between retriever and response synthesizer
Fix No.8: **Retrieval Traceability** + **Data Contracts** →
[Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) ·
[Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
- Long pipelines flatten tone and drift logically
Fix No.3 and No.9: **Context Drift** and **Entropy Collapse** →
[Context Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md) ·
[Entropy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md)
- Agents loop, roles blur, or memory overwrites facts
Fix No.13: **Multi-Agent Chaos** →
[Multi-Agent Problems](https://github.com/onestardao/WFGY/blob/main/ProblemMap/Multi-Agent_Problems.md) ·
[Role Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/multi-agent-chaos/role-drift.md) ·
[Memory Overwrite](https://github.com/onestardao/WFGY/blob/main/ProblemMap/multi-agent-chaos/memory-overwrite.md)
- Confident tone but wrong answer
Fix No.4: **Bluffing and Overconfidence** →
[Bluffing](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bluffing.md)
- Model merges two sources into one response
Pattern: **Symbolic Constraint Unlock** →
[Symbolic Constraint Unlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_symbolic_constraint_unlock.md)
---
## Minimal LlamaIndex pattern with WFGY checks
```python
# Pseudocode. Control points you must keep.
from llama_index.core import VectorStoreIndex
from llama_index.core.query_engine import RetrieverQueryEngine
# build index with explicit metric and normalization
index = VectorStoreIndex.from_documents(
docs,
embed_model=embedder, # keep the same fn for write and read
)
retriever = index.as_retriever(similarity_top_k=10)
qe = RetrieverQueryEngine.from_args(retriever)
def assemble_prompt(context, q):
# schema-locked: system -> task -> constraints -> citations -> answer
return prompt.render(context=context, question=q)
def reason(msg):
# require cite then explain in the template
return llm(msg)
def wfgy_checks(q, context, answer):
# compute ΔS(question, context) and record snippet↔citation mapping
# fail fast when ΔS ≥ 0.60 or λ divergent
return metrics_and_trace(q, context, answer)
def run(q):
nodes = retriever.retrieve(q)
context = join_nodes(nodes)
msg = assemble_prompt(context, q)
answer = reason(msg)
return wfgy_checks(q, context, answer)
````
**What this enforces**
* Retrieval is observable and parameterized.
* Prompt is schema locked with cite first.
* WFGY check runs after generation and can stop the run when ΔS is high or λ flips.
* Traces record snippet to citation mapping for audits.
Reference specs
[RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) ·
[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) ·
[Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) ·
[Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
---
## LlamaIndex-specific gotchas
* Mixed embedding functions or metrics between ingestion and query. Rebuild with explicit metric and unit normalization.
See [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
* ResponseSynthesizer rewrites citations. Enforce cite first and lock section ids.
See [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
* RouterQueryEngine sends different tokenizations to dense and sparse backends. Unify analyzers first.
See [Query Parsing Split](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_query_parsing_split.md)
* Persistence reloads with a different embedder when swapping models. Pin versions and validate store headers.
See [Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
* Agent tool loops with vague stopping rules. Add BBCR bridge steps and clamp variance with BBAM in the prompt.
See [Logic Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/logic-collapse.md)
---
## When to escalate
* ΔS remains ≥ 0.60 after chunking and retrieval fixes
Work through the playbook and rebuild index parameters.
[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
* Answers flip between runs or sessions
Verify version skew and session state.
[Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
---
### 🔗 Quick-Start Downloads (60 sec)
| 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) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \” |
| **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 |
---
### 🧭 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) |
---
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⭐ [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.
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