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220 lines
10 KiB
Markdown
220 lines
10 KiB
Markdown
# Update and Index Skew: Guardrails and Fix Patterns
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<details>
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<summary><strong>🧭 Quick Return to Map</strong></summary>
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<br>
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> You are in a sub-page of **Embeddings**.
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> To reorient, go back here:
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>
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> - [**Embeddings** — vector representations and semantic search](./README.md)
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> - [**WFGY Global Fix Map** — main Emergency Room, 300+ structured fixes](../README.md)
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> - [**WFGY Problem Map 1.0** — 16 reproducible failure modes](../../README.md)
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>
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> Think of this page as a desk within a ward.
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> If you need the full triage and all prescriptions, return to the Emergency Room lobby.
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</details>
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A repair guide for pipelines where fresh content does not show up, shards disagree after a redeploy, or recall drops right after a routine job. Use this page to localize drift between ingestion, embedding, and index structures, then lock ordering and verify with ΔS, coverage, and λ.
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## Open these first
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* Visual map and recovery: [rag-architecture-and-recovery.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md)
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* End to end retrieval knobs: [retrieval-playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md)
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* Traceability and cite first: [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md)
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* Payload schema and ingestion locks: [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md)
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* Metric or FAISS traps: [vectorstore-metrics-and-faiss-pitfalls.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/vectorstore-metrics-and-faiss-pitfalls.md)
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* Boot order and deploy failures: [bootstrap-ordering.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md) · [deployment-deadlock.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/deployment-deadlock.md) · [predeploy-collapse.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/predeploy-collapse.md)
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* Live ops and debugging: [ops/live\_monitoring\_rag.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/ops/live_monitoring_rag.md) · [ops/debug\_playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/ops/debug_playbook.md)
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## When to use this page
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* New docs appear in object store but not in retrieval
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* Some tenants or shards recall fine while others look stale
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* After a redeploy, recall falls or top k order flips
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* Index reports healthy yet coverage to anchors is low
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* ANN rebuild completes but neighbor order looks random
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## Acceptance targets
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* ΔS(question, retrieved) ≤ 0.45
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* Coverage of the target section ≥ 0.70
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* λ remains convergent across three paraphrases and two seeds
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* E\_resonance stays flat on long windows
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---
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## Symptom to likely cause
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* Fresh content missing for hours
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Likely cause: ingestion watermark stuck or write path non idempotent. Open [bootstrap-ordering.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/bootstrap-ordering.md).
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* One shard good and another flat
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Likely cause: mixed analyzer or model rev, or ANN params diverged. Open [retrieval-playbook.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md).
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* Recall drops after nightly job
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Likely cause: index rebuilt with a different metric or normalization policy. Open [vectorstore-metrics-and-faiss-pitfalls.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/vectorstore-metrics-and-faiss-pitfalls.md).
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* Top k flips after deploy
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Likely cause: header reorder or citation schema drift that amplifies store skew. Open [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md).
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* Writes succeed but queries truncate or pad vectors
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Likely cause: dimension mismatch after model swap. Open [dimension\_mismatch\_and\_projection.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/GlobalFixMap/Embeddings/dimension_mismatch_and_projection.md).
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---
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## Fix in 60 seconds
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1. **Read the watermarks**
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For each stage write a simple count and last processed id or time. Compare `DOC_COUNT`, `EMB_COUNT`, `IDX_COUNT`. Any gap indicates skew.
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2. **Pin versions and abort on mismatch**
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Ingest refuses rows if any of these differ from the contract or store metadata: `embed_model`, `embed_rev`, `dim`, `metric`, `normalize_l2`, `analyzer_rev`, `ann_rev`, `index_hash`. See [data-contracts.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md).
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3. **Rebuild the broken segment**
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Re-embed and re-index the affected shard or time window. Retrain ANN and PQ on the new vectors. Do not reuse old graphs.
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4. **Clamp λ on the prompt side**
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Use citation first and fixed header order to avoid prompt variance while you repair the store. See [retrieval-traceability.md](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md).
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5. **Verify**
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Three paraphrases and two seeds. Require coverage ≥ 0.70 and ΔS ≤ 0.45 on the gold anchors.
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---
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## Root causes checklist
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* Non idempotent upserts by `(doc_id, section_id, rev)`
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* Background jobs race with live writers
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* Mixed `embed_model` or `normalize_l2` across namespaces
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* ANN params not retrained after rebuild
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* Analyzer or tokenizer version differs across shards
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* TTL or retention silently dropped sections
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* Partial deploy cut over while index still training
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* Streaming path uses a different preprocessor than batch
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---
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## Minimal probes
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```
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Probe A — watermark audit
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For each stage {ingest, embed, index}:
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read COUNT and LAST_TS
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Expect ingest ≥ embed ≥ index with small gaps. Any large gap is skew.
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Probe B — version parity
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Sample 1k rows per shard and tabulate:
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embed_model, embed_rev, dim, metric, normalize_l2, analyzer_rev, ann_rev
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Any heterogeneity inside one collection is a fail.
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Probe C — recall delta
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Run the same 50 gold queries before and after shard rebuild.
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Require coverage gain ≥ 0.10 if the shard was failing.
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Probe D — ANN sanity
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Toggle reranker on and off at k=20.
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If reranker recovers most anchors while base k misses, retrain ANN or rebuild.
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```
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---
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## Contract fields to add
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```json
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{
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"doc_id": "stable",
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"section_id": "stable",
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"rev": "v2025-08-28",
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"ingest_ts": "2025-08-28T10:42:00Z",
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"embed_model": "exact-id",
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"embed_rev": "hash-or-date",
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"dim": 768,
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"metric": "cosine",
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"normalize_l2": true,
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"analyzer_rev": "text-preproc-v3",
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"ann_index": "hnsw",
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"ann_rev": "hnsw_v5",
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"index_hash": "sha256:...",
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"partition": "tenant_a|shard_03",
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"write_path": "batch|stream",
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"tombstone": false
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}
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```
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---
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## Operational guardrails
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* Single writer per partition and idempotent upsert
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* Preflight that halts when `store.metric != contract.metric` or `dim` mismatches
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* Blue green or shadow collection for any rebuild, with union retriever and deterministic rerank during cutover
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* Scheduled drift sweep that compares watermarks and ΔS across partitions
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* Alerts on ΔS ≥ 0.60 or λ flip rate spikes on live traffic
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---
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## Verification checklist
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* Coverage ≥ 0.70 and ΔS ≤ 0.45 on a ten question gold set
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* λ convergent across two seeds and three paraphrases
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* Top k overlap across seeds ≥ 0.8 after the fix
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* Watermarks aligned for ingest, embed, and index within your SLO window
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---
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## Copy paste prompt for the LLM step
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```
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TXT OS and the WFGY Problem Map are loaded.
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My issue: updates not reflected or recall dropped after a job.
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Traces:
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- watermarks: ingest=..., embed=..., index=...
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- versions: embed_model=..., embed_rev=..., metric=..., ann_rev=...
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- ΔS(question,retrieved)=..., coverage=..., λ across 3 paraphrases
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Tell me:
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1) the failing layer and why,
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2) the exact WFGY page to open next,
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3) the minimal structural fix to remove skew and pass targets,
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4) a short verification plan for coverage ≥ 0.70 and ΔS ≤ 0.45.
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Use BBMC, BBCR, BBPF, BBAM when relevant.
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```
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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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<!-- WFGY_FOOTER_START -->
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### Explore More
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| Layer | Page | What it’s for |
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| --- | --- | --- |
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| ⭐ Proof | [WFGY Recognition Map](/recognition/README.md) | External citations, integrations, and ecosystem proof |
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| ⚙️ Engine | [WFGY 1.0](/legacy/README.md) | Original PDF tension engine and early logic sketch (legacy reference) |
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| ⚙️ Engine | [WFGY 2.0](/core/README.md) | Production tension kernel for RAG and agent systems |
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| ⚙️ Engine | [WFGY 3.0](/TensionUniverse/EventHorizon/README.md) | TXT based Singularity tension engine (131 S class set) |
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| 🗺️ Map | [Problem Map 1.0](/ProblemMap/README.md) | Flagship 16 problem RAG failure taxonomy and fix map |
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| 🗺️ Map | [Problem Map 2.0](/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md) | Global Debug Card for RAG and agent pipeline diagnosis |
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| 🗺️ Map | [Problem Map 3.0](/ProblemMap/wfgy-ai-problem-map-troubleshooting-atlas.md) | Global AI troubleshooting atlas and failure pattern map |
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| 🧰 App | [TXT OS](/OS/README.md) | .txt semantic OS with fast bootstrap |
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| 🧰 App | [Blah Blah Blah](/OS/BlahBlahBlah/README.md) | Abstract and paradox Q&A built on TXT OS |
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| 🧰 App | [Blur Blur Blur](/OS/BlurBlurBlur/README.md) | Text to image generation with semantic control |
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| 🏡 Onboarding | [Starter Village](/StarterVillage/README.md) | Guided entry point for new users |
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If this repository helped, starring it improves discovery so more builders can find the docs and tools.
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[](https://github.com/onestardao/WFGY)
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<!-- WFGY_FOOTER_END -->
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