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# LlamaIndex — Guardrails and Fix Patterns
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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.
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**Acceptance targets**
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- ΔS(question, retrieved) ≤ 0.45
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- coverage ≥ 0.70 to the intended section or record
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- λ stays convergent across 3 paraphrases
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---
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## Typical breakpoints → exact fixes
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- Retrieval returns plausible but wrong chunks
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Fix No.1: **Hallucination and Chunk Drift** →
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[Hallucination](https://github.com/onestardao/WFGY/blob/main/ProblemMap/hallucination.md)
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Also review the **Retrieval Playbook** →
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[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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- High vector similarity, wrong meaning
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Fix No.5: **Embedding ≠ Semantic** →
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[Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
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- Hybrid retrieval or RouterQueryEngine degrades compared to single retriever
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Pattern: **Query Parsing Split** →
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[Query Parsing Split](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_query_parsing_split.md)
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Add ordering control with **Rerankers** →
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[Rerankers](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rerankers.md)
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- Facts exist in the store but never show up
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Pattern: **Vectorstore Fragmentation** →
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[Vectorstore Fragmentation](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_vectorstore_fragmentation.md)
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- Citations missing or inconsistent between retriever and response synthesizer
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Fix No.8: **Retrieval Traceability** + **Data Contracts** →
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[Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) ·
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[Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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- Long pipelines flatten tone and drift logically
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Fix No.3 and No.9: **Context Drift** and **Entropy Collapse** →
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[Context Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md) ·
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[Entropy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md)
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- Agents loop, roles blur, or memory overwrites facts
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Fix No.13: **Multi-Agent Chaos** →
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[Multi-Agent Problems](https://github.com/onestardao/WFGY/blob/main/ProblemMap/Multi-Agent_Problems.md) ·
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[Role Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/multi-agent-chaos/role-drift.md) ·
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[Memory Overwrite](https://github.com/onestardao/WFGY/blob/main/ProblemMap/multi-agent-chaos/memory-overwrite.md)
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- Confident tone but wrong answer
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Fix No.4: **Bluffing and Overconfidence** →
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[Bluffing](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bluffing.md)
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- Model merges two sources into one response
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Pattern: **Symbolic Constraint Unlock** →
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[Symbolic Constraint Unlock](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_symbolic_constraint_unlock.md)
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---
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## Minimal LlamaIndex pattern with WFGY checks
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```python
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# Pseudocode. Control points you must keep.
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from llama_index.core import VectorStoreIndex
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from llama_index.core.query_engine import RetrieverQueryEngine
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# build index with explicit metric and normalization
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index = VectorStoreIndex.from_documents(
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docs,
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embed_model=embedder, # keep the same fn for write and read
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)
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retriever = index.as_retriever(similarity_top_k=10)
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qe = RetrieverQueryEngine.from_args(retriever)
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def assemble_prompt(context, q):
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# schema-locked: system -> task -> constraints -> citations -> answer
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return prompt.render(context=context, question=q)
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def reason(msg):
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# require cite then explain in the template
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return llm(msg)
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def wfgy_checks(q, context, answer):
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# compute ΔS(question, context) and record snippet↔citation mapping
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# fail fast when ΔS ≥ 0.60 or λ divergent
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return metrics_and_trace(q, context, answer)
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def run(q):
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nodes = retriever.retrieve(q)
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context = join_nodes(nodes)
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msg = assemble_prompt(context, q)
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answer = reason(msg)
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return wfgy_checks(q, context, answer)
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````
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**What this enforces**
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* Retrieval is observable and parameterized.
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* Prompt is schema locked with cite first.
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* WFGY check runs after generation and can stop the run when ΔS is high or λ flips.
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* Traces record snippet to citation mapping for audits.
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Reference specs
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[RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) ·
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[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) ·
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[Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) ·
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[Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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---
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## LlamaIndex-specific gotchas
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* Mixed embedding functions or metrics between ingestion and query. Rebuild with explicit metric and unit normalization.
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See [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md)
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* ResponseSynthesizer rewrites citations. Enforce cite first and lock section ids.
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See [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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* RouterQueryEngine sends different tokenizations to dense and sparse backends. Unify analyzers first.
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See [Query Parsing Split](https://github.com/onestardao/WFGY/blob/main/ProblemMap/patterns/pattern_query_parsing_split.md)
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* Persistence reloads with a different embedder when swapping models. Pin versions and validate store headers.
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See [Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
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* Agent tool loops with vague stopping rules. Add BBCR bridge steps and clamp variance with BBAM in the prompt.
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See [Logic Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/logic-collapse.md)
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---
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## When to escalate
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* ΔS remains ≥ 0.60 after chunking and retrieval fixes
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Work through the playbook and rebuild index parameters.
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[Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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* Answers flip between runs or sessions
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Verify version skew and session state.
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[Pre-Deploy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
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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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### 🧭 Explore More
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| Module | Description | Link |
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| ------------------------ | ---------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- |
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| 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) |
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| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) |
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| 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) |
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| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) |
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| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) |
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| 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) |
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| 🧙♂️ 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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---
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> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** — <img src="https://img.shields.io/github/stars/onestardao/WFGY?style=social" alt="GitHub stars"> ⭐ [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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<div align="center">
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[](https://github.com/onestardao/WFGY)
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[](https://github.com/onestardao/WFGY/tree/main/OS)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)
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[](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)
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</div>
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