# ❓ FAQ — Fast Answers for Busy Builders Short, practical answers to the questions we get every day. > **Quick Nav** > [Getting Started](./getting-started.md) · > [RAG Map 2.0](./rag-architecture-and-recovery.md) · > [Retrieval Playbook](./retrieval-playbook.md) · > [Rerankers](./rerankers.md) · > [Patterns](./patterns/README.md) · > [Eval](./eval/README.md) · > [Ops](./ops/README.md) --- ## General **What is WFGY?** A symbolic reasoning layer + diagnostic toolkit that sits *above* your stack. It measures semantic stress (ΔS), shows which layer drifted (λ_observe), and applies repair operators (BBMC/BBPF/BBCR/BBAM). You don’t need to change your infra. **Do I need a GPU?** No. You can prototype on CPU with small embedding models. Rerankers and local LLMs benefit from GPU but are optional. See: [Retrieval Playbook](./retrieval-playbook.md). **License? Can I use it at work?** MIT. Commercial use allowed. If you ship improvements, we welcome PRs (docs or code). **How is this different from LangChain/LlamaIndex?** Those are orchestration layers. **WFGY is a reasoning firewall and diagnostic map**—it detects/repairs *semantic* failure regardless of framework. --- ## Setup & scope **What’s the fastest way to try it?** Grab **TXT OS** and **WFGY 1.0 PDF**, paste TXT into any model, and follow the prompts in [Getting Started](./getting-started.md). **Which embedding model should I start with?** General docs: `all-MiniLM-L6-v2` (light) or `bge-base`. Multilingual: `bge-m3` / `LaBSE`. Keep **write/read normalization identical**. See: [Embedding vs Semantic](./embedding-vs-semantic.md). **Do I need a reranker?** Only if first-stage **recall@50 ≥ 0.85** but Top-k precision is weak. Otherwise fix candidate generation. See: [Rerankers](./rerankers.md). **How big can my PDFs be?** Start with a **gold set** (10–50 Q/A with citations). For ingestion, chunk by semantic sections (not fixed tokens). Verify ΔS thresholds before scaling. --- ## Diagnosing failures **The chunks look right but the answer is wrong—now what?** Measure **ΔS(question, retrieved)**. If ≥ 0.60, fix retrieval first; if ≤ 0.45 and reasoning still fails, open **Interpretation Collapse**. Links: [hallucination.md](./hallucination.md) · [retrieval-collapse.md](./retrieval-collapse.md) **Hybrid (BM25 + dense) got worse—why?** Likely **Query Parsing Split** (tokenizer/analyzer drift). Unify analyzers and log per-retriever queries. Link: [pattern_query_parsing_split.md](./patterns/pattern_query_parsing_split.md) **Citations bleed across sources.** Enforce **per-source fences** + “cite-then-explain” schema; this is **SCU**. Links: [retrieval-traceability.md](./retrieval-traceability.md) · [pattern_symbolic_constraint_unlock.md](./patterns/pattern_symbolic_constraint_unlock.md) **Fixes don’t stick after refresh.** You’re seeing **Memory Desync**. Stamp `mem_rev`/`mem_hash`, gate writes, and audit traces. Link: [pattern_memory_desync.md](./patterns/pattern_memory_desync.md) --- ## Implementation details **How do I compute ΔS quickly?** Use cosine on unit-normalized sentence embeddings: `ΔS = 1 − cos(I, G)`. Thresholds: `<0.40` stable · `0.40–0.60` transitional · `≥0.60` act. Ground anchor `G` can be a section title/snippet you expect. **What are BBMC/BBPF/BBCR/BBAM in one line?** - **BBMC** — minimize semantic residue vs anchors. - **BBPF** — branch safely across multiple paths. - **BBCR** — detect collapse; insert a bridge node and restart cleanly. - **BBAM** — modulate attention variance to avoid entropy melt. **Where are the data shapes?** See: [Data Contracts](./data-contracts.md). They’re JSON-first, easy to log, and versioned. --- ## Teams & Ops **How do we avoid regressions?** Commit `goldset.jsonl`, measure **recall@50**, **nDCG@10**, and ΔS across PRs. Links: [eval_rag_precision_recall.md](./eval/eval_rag_precision_recall.md) · [eval_semantic_stability.md](./eval/eval_semantic_stability.md) **Any privacy guidance?** Yes—PII redaction, retention, access control, and provider governance patterns are here: [Privacy & Governance](./privacy-and-governance.md). --- ## Known limits - Extremely noisy OCR may require **manual anchors** or **char-level retrieval**. - Cross-domain abstract reasoning (#11/#12) needs stronger models. - Rerankers improve precision but add latency—**prove gains** via nDCG. --- ### 🔗 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) | --- > 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** — > Engineers, hackers, and open source builders who supported WFGY from day one. > 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](https://github.com/onestardao/WFGY/blob/main/STAR_UNLOCKS.md).
[![WFGY Main](https://img.shields.io/badge/WFGY-Main-red?style=flat-square)](https://github.com/onestardao/WFGY)   [![TXT OS](https://img.shields.io/badge/TXT%20OS-Reasoning%20OS-orange?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS)   [![Blah](https://img.shields.io/badge/Blah-Semantic%20Embed-yellow?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah)   [![Blot](https://img.shields.io/badge/Blot-Persona%20Core-green?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot)   [![Bloc](https://img.shields.io/badge/Bloc-Reasoning%20Compiler-blue?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc)   [![Blur](https://img.shields.io/badge/Blur-Text2Image%20Engine-navy?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur)   [![Blow](https://img.shields.io/badge/Blow-Game%20Logic-purple?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow)