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5.1 KiB
5.1 KiB
📚 Glossary — Terms, Symbols, and Short Definitions
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Retrieval Playbook · Patterns · Eval
Core instruments
-
ΔS (delta-S) — Semantic stress.
ΔS = 1 − cos(I, G)whereIis item embedding,Gis ground/anchor.
Thresholds:<0.40stable ·0.40–0.60transitional ·≥0.60high risk. -
λ_observe — Layered observability state.
Symbols:→convergent ·←divergent ·<>recursive ·×chaotic. -
E_resonance — Coherence indicator. Rolling mean of |residual| under BBMC; rising E with high ΔS ⇒ apply BBCR/BBAM.
Repair operators (WFGY modules)
- BBMC — Boundary-Bounded Memory Chunks. Reduce semantic residue vs anchors; align chunks/sections with tasks.
- BBPF — Branch-Bounded Prompt Frames. Explore multiple semantic paths safely; stabilize context windows.
- BBCR — Break-Before-Crash Reset. Detect collapse, insert bridge node, restart cleanly.
- BBAM — Attention Modulation. Reduce variance in attention to avoid entropy melt on long contexts.
Retrieval, ranking & prompting
- RRF (Reciprocal Rank Fusion) — Fuse ranks from multiple retrievers via
1/(k + rank). - MMR (Maximal Marginal Relevance) — Diversify candidates balancing relevance and novelty.
- BM25 — Sparse lexical scoring for exact term match; strong for code/IDs.
- HyDE — Hypothetical document expansion; creates a synthetic query/doc to improve recall.
- Cross-encoder reranker — Jointly encodes
[query ⊕ doc]for precision@k gains.
Patterns (named failure modes)
- SCU (Symbolic Constraint Unlock) — Model merges sources or violates “cite-then-explain” schema. Fix: per-source fences + locked schema.
- Query Parsing Split — Dense and sparse retrievers use different analyzers/tokenizers; hybrid breaks.
- Vectorstore Fragmentation — Index contains “ghost” gaps; facts exist but never retrieved; fix shard/id audits.
- Memory Desync — State flips between sessions/tabs; require
mem_rev+mem_hash. - Role Drift — Multi-agent persona swap; tag agent IDs and lock via BBCR.
Multi-agent
- Agent boundary — Contract that limits what an agent can read/write; prevents overwrite.
- ΔS peer check — Measures divergence between agents’ plans to catch conflicts early.
Data & ops
- Gold set — Small set (10–50) of realistic Q/A with citations; used for CI (recall@50, nDCG@10, ΔS).
- Traceability — Provenance from answer → prompt → citations → chunks → source file.
Notation quickies
I— item (retrieved chunk) embedding;G— ground/anchor embedding.‖B‖ ≥ B_c— collapse threshold on residual magnitude (BBCR).- Convergent λ — layer is stable across paraphrases; divergent λ — layer is drifting.
🔗 Quick-Start Downloads (60 sec)
| 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 |
Explore More
| 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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