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@ -94,11 +94,13 @@ A verified record of public citations and integrations of WFGY ProblemMap across
| --- | --- | --- | --- | --- |
| [RAGFlow](https://github.com/infiniflow/ragflow) | [![GitHub Repo stars](https://img.shields.io/github/stars/infiniflow/ragflow?style=social)](https://github.com/infiniflow/ragflow) | Mainstream RAG engine | Adds a RAG failure modes checklist guide in its official docs, adapted from the WFGY 16-problem failure map for step-by-step RAG pipeline diagnostics. | [PR #13204](https://github.com/infiniflow/ragflow/pull/13204) |
| [LlamaIndex](https://github.com/run-llama/llama_index) | [![GitHub Repo stars](https://img.shields.io/github/stars/run-llama/llama_index?style=social)](https://github.com/run-llama/llama_index) | Mainstream RAG infra | Integrates the WFGY 16-problem RAG failure checklist into its official RAG troubleshooting docs as a structured failure mode reference. | [PR #20760](https://github.com/run-llama/llama_index/pull/20760) |
| [FlashRAG](https://github.com/RUC-NLPIR/FlashRAG) | [![GitHub Repo stars](https://img.shields.io/github/stars/RUC-NLPIR/FlashRAG?style=social)](https://github.com/RUC-NLPIR/FlashRAG) | Academic lab / RAG research toolkit | Adapts the **WFGY ProblemMap** as a structured RAG failure checklist in its documentation. The 16-mode taxonomy is cited to support reproducible debugging and systematic failure-mode reasoning for RAG experiments. | [PR #224](https://github.com/RUC-NLPIR/FlashRAG/pull/224) |
| [ToolUniverse (Harvard MIMS Lab)](https://github.com/mims-harvard/ToolUniverse) | [![GitHub Repo stars](https://img.shields.io/github/stars/mims-harvard/ToolUniverse?style=social)](https://github.com/mims-harvard/ToolUniverse) | Academic lab / tools | Provides a `WFGY_triage_llm_rag_failure` tool that wraps the 16 mode map for incident triage. | [PR #75](https://github.com/mims-harvard/ToolUniverse/pull/75) |
| [Rankify (Univ. of Innsbruck)](https://github.com/DataScienceUIBK/Rankify) | [![GitHub Repo stars](https://img.shields.io/github/stars/DataScienceUIBK/Rankify?style=social)](https://github.com/DataScienceUIBK/Rankify) | Academic lab / system | Uses the 16 failure patterns in RAG and re-ranking troubleshooting docs. | [PR #76](https://github.com/DataScienceUIBK/Rankify/pull/76) |
| [Multimodal RAG Survey (QCRI LLM Lab)](https://github.com/llm-lab-org/Multimodal-RAG-Survey) | [![GitHub Repo stars](https://img.shields.io/github/stars/llm-lab-org/Multimodal-RAG-Survey?style=social)](https://github.com/llm-lab-org/Multimodal-RAG-Survey) | Academic lab / survey | Cites WFGY as a practical diagnostic resource for multimodal RAG. | [PR #4](https://github.com/llm-lab-org/Multimodal-RAG-Survey/pull/4) |
### 2. High-impact curated lists, benchmarks & discussions
| Project | Stars | How it uses WFGY ProblemMap | Proof |
@ -111,7 +113,6 @@ A verified record of public citations and integrations of WFGY ProblemMap across
| [ruoyi-ai](https://github.com/ageerle/ruoyi-ai) | [![GitHub Repo stars](https://img.shields.io/github/stars/ageerle/ruoyi-ai?style=social)](https://github.com/ageerle/ruoyi-ai) | Includes WFGY in its RAG troubleshooting / FAQ guidance as a reference checklist for diagnosing RAG answer inconsistencies and retrieval-related failures in knowledge base workflows. | [PR #268](https://github.com/ageerle/ruoyi-ai/pull/268#issuecomment-3988269145) |
| [Awesome GPT Super Prompting](https://github.com/CyberAlbSecOP/Awesome_GPT_Super_Prompting) | [![GitHub Repo stars](https://img.shields.io/github/stars/CyberAlbSecOP/Awesome_GPT_Super_Prompting?style=social)](https://github.com/CyberAlbSecOP/Awesome_GPT_Super_Prompting) | Includes **onestardao/WFGY** under Secure Prompting as a structured 16 failure-mode map for RAG and agent pipelines, including prompt injection patterns with practical mitigation checklists. | [Issue #10](https://github.com/CyberAlbSecOP/Awesome_GPT_Super_Prompting/issues/10) |
| [awesome-agentic-patterns](https://github.com/nibzard/awesome-agentic-patterns) | [![GitHub Repo stars](https://img.shields.io/github/stars/nibzard/awesome-agentic-patterns?style=social)](https://github.com/nibzard/awesome-agentic-patterns) | Adds the **Reliability Problem Map Checklist for RAG and Agents** pattern in the Reliability and Eval category, based on the WFGY ProblemMap and linking back to WFGY as a reliability checklist for RAG-heavy agents. | [PR #24](https://github.com/nibzard/awesome-agentic-patterns/pull/24) |
| [FlashRAG](https://github.com/RUC-NLPIR/FlashRAG) | [![GitHub Repo stars](https://img.shields.io/github/stars/RUC-NLPIR/FlashRAG?style=social)](https://github.com/RUC-NLPIR/FlashRAG) | Adapts the **WFGY ProblemMap** as a structured RAG failure checklist in its documentation. The 16-mode taxonomy is cited to support reproducible debugging and systematic failure-mode reasoning for RAG experiments. | [PR #224](https://github.com/RUC-NLPIR/FlashRAG/pull/224) |
| [Awesome-GraphRAG](https://github.com/DEEP-PolyU/Awesome-GraphRAG) | [![GitHub Repo stars](https://img.shields.io/github/stars/DEEP-PolyU/Awesome-GraphRAG?style=social)](https://github.com/DEEP-PolyU/Awesome-GraphRAG) | Includes **WFGY Problem Map** in its curated GraphRAG resource list as a diagnostic toolkit that defines recurring failure modes in RAG and LLM pipelines, supporting systematic triage and remediation. | [Issue #17 (event)](https://github.com/DEEP-PolyU/Awesome-GraphRAG/issues/17#event-23247141290) |
| [Awesome AI Books](https://github.com/zslucky/awesome-ai-books) | [![GitHub Repo stars](https://img.shields.io/github/stars/zslucky/awesome-ai-books?style=social)](https://github.com/zslucky/awesome-ai-books) | Mentions the WFGY TXT and PDF packs in the LLM reading list. | [PR #14](https://github.com/zslucky/awesome-AI-books/pull/14) |
| [Awesome AI Web Search (discussion 15)](https://github.com/felladrin/awesome-ai-web-search/discussions/15) | [![GitHub Repo stars](https://img.shields.io/github/stars/felladrin/awesome-ai-web-search?style=social)](https://github.com/felladrin/awesome-ai-web-search) | Discusses the 16 mode map as a candidate taxonomy for RAG failure modes in web search agents. | [Issue #49](https://github.com/felladrin/awesome-ai-web-search/issues/49) |