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<details>
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<summary>🌐 Recognition & ecosystem integration</summary>
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<br>
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> WFGY has been recognized and integrated by mainstream RAG frameworks, academic labs, and curated open-source lists, and is increasingly used as a reference for LLM robustness, RAG diagnostics, and system reliability.
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### 1. Core integrations & research
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> As of 2026-03, the **WFGY RAG 16 Problem Map** line has been adopted or referenced by
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> **20+ frameworks, academic labs, and curated lists** in the RAG and agent ecosystem.
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> Most external references use the WFGY ProblemMap as a diagnostic layer for RAG / agent pipelines,
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> not the full WFGY product stack.
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> A smaller but growing set also uses **WFGY 3.0 · Singularity Demo** as a long-horizon TXT stress test.
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Some representative integrations:
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| Project | Stars | Segment | How it uses WFGY ProblemMap | Proof (PR / doc) |
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| --- | --- | --- | --- | --- |
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| [RAGFlow](https://github.com/infiniflow/ragflow) | [](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) |
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| [LlamaIndex](https://github.com/run-llama/llama_index) | [](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) |
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| [ToolUniverse (Harvard MIMS Lab)](https://github.com/mims-harvard/ToolUniverse) | [](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) |
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| [LlamaIndex](https://github.com/run-llama/llama_index) | [](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) |
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| [ToolUniverse (Harvard MIMS Lab)](https://github.com/mims-harvard/ToolUniverse) | [](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) |
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| [Rankify (Univ. of Innsbruck)](https://github.com/DataScienceUIBK/Rankify) | [](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) |
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| [Multimodal RAG Survey (QCRI LLM Lab)](https://github.com/llm-lab-org/Multimodal-RAG-Survey) | [](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) |
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### 2. Curated lists & discussions
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For the complete 20+ project list (frameworks, benchmarks, curated lists), see the
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👉 **[WFGY Recognition Map](https://github.com/onestardao/WFGY/blob/main/recognition/README.md)**
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| Project | Stars | How it uses WFGY ProblemMap |
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| --- | --- | --- |
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| [Awesome LLM Apps](https://github.com/Shubhamsaboo/awesome-llm-apps) | [](https://github.com/Shubhamsaboo/awesome-llm-apps) | Includes the **RAG Failure Diagnostics Clinic** tutorial, designed by the WFGY author as a small, framework-agnostic clinic built around the WFGY 16-problem failure map for hands-on RAG debugging. |
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| [Awesome Data Science – academic](https://github.com/academic/awesome-datascience) | [](https://github.com/academic/awesome-datascience) | Lists WFGY as a reference for LLM and RAG diagnostic workflows in data science infrastructure. |
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| [Awesome-AITools](https://github.com/ikaijua/Awesome-AITools) | [](https://github.com/ikaijua/Awesome-AITools) | Lists WFGY ProblemMap as an open-source RAG failure-mode checklist and diagnostics toolkit for LLM pipelines (data, embeddings, retrievers, tools, evaluation). |
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| [Awesome AI in Finance](https://github.com/georgezouq/awesome-ai-in-finance) | [](https://github.com/georgezouq/awesome-ai-in-finance) | Lists WFGY as a tool for stress testing and validating RAG-based financial systems. |
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| [awesome-agentic-patterns](https://github.com/nibzard/awesome-agentic-patterns) | [](https://github.com/nibzard/awesome-agentic-patterns) | Adds the **Reliability Problem Map Checklist for RAG and Agents** pattern in the Reliability & Eval category, based on the WFGY ProblemMap and linking back to WFGY as a reliability checklist for RAG-heavy agents. |
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| [Awesome AI Books](https://github.com/zslucky/awesome-ai-books) | [](https://github.com/zslucky/awesome-ai-books) | Mentions the WFGY TXT and PDF packs in the LLM reading list. |
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| [Awesome AI Web Search (discussion 15)](https://github.com/felladrin/awesome-ai-web-search/discussions/15) | [](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. |
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| [Awesome AI System](https://github.com/lambda7xx/awesome-AI-system) | [](https://github.com/lambda7xx/awesome-AI-system) | Lists WFGY under LLM robustness and debugging infrastructure. |
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| [Awesome AI Tools](https://github.com/eudk/awesome-ai-tools) | [](https://github.com/eudk/awesome-ai-tools) | Includes WFGY as an open-source framework for debugging LLM agents and RAG pipelines. |
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| [AI Agents for Cybersecurity](https://github.com/santosomar/AI-agents-for-cybersecurity) | [](https://github.com/santosomar/AI-agents-for-cybersecurity) | References the 16 mode map as a debugging guide for RAG-heavy security agents. |
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| [Awesome Artificial Intelligence Research](https://github.com/ThyrixYang/awesome-artificial-intelligence-research) | [](https://github.com/ThyrixYang/awesome-artificial-intelligence-research) | Links to WFGY in the NLP section as a project on LLM robustness, debugging, and reliability. |
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| [Awesome-LLM-based-Evaluators](https://github.com/dependentsign/Awesome-LLM-based-Evaluators) | [](https://github.com/dependentsign/Awesome-LLM-based-Evaluators) | Lists **WFGY 3.0 · Singularity Demo** and the **WFGY ProblemMap** in its “Robustness & stress-test resources” section as a TXT-based long-horizon tension reasoning benchmark and failure map for RAG / LLM robustness evaluation. |
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> If your project uses the WFGY ProblemMap and you would like to be listed here, feel free to open an issue or pull request.
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> If your project uses the WFGY ProblemMap and you would like to be listed,
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> feel free to open an issue or pull request in this repository.
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</details>
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