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<!--
AI NOTE · ADOPTERS
Purpose:
- This page is the short public adoption summary for WFGY.
- It is meant for evaluators, collaborators, and first-time visitors who want the strongest public evidence first.
- This page is intentionally shorter than the full recognition log.
How to read this page:
- The entries below are the strongest current public examples of WFGY adoption, integration, or research-facing reuse.
- Most public adoption today points to the WFGY ProblemMap / 16-problem failure checklist line.
- For the full and continuously maintained ecosystem record, go to recognition/README.md.
Important boundary:
- This is not a customer logo page.
- This does not claim that every listed project uses the full WFGY ecosystem.
- This page is a short summary layer, not the canonical source-of-truth ledger.
-->
# ADOPTERS
Short public adoption summary for WFGY.
This page highlights the **strongest current public examples** of where WFGY has already been integrated, adapted, cited, or wrapped in the open ecosystem.
It is **not** a customer list, **not** an enterprise logo page, and **not** a claim that every listed project uses the full WFGY ecosystem.
At the current stage, the clearest public adoption is concentrated around the **WFGY ProblemMap / 16-problem failure checklist** line.
For the full and continuously maintained recognition log, see:
- [WFGY Recognition Map](https://github.com/onestardao/WFGY/blob/main/recognition/README.md)
## Strongest current public adoption examples
These are the strongest public examples because they involve one or more of the following:
- merged documentation integrations
- direct tool wrapping
- official troubleshooting references
- research-facing citation or adaptation
- structured reuse of the WFGY ProblemMap
| Project | Stars | Segment | What is publicly visible | Proof |
| --- | --- | --- | --- | --- |
| [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 | RAG troubleshooting material adapted from the WFGY 16-problem failure map for structured 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 | Official troubleshooting docs integrate the WFGY 16-problem checklist as a structured failure 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 | Documentation adapts the WFGY ProblemMap as a structured RAG failure checklist for reproducible debugging. | [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 | Includes 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) |
| [LightAgent](https://github.com/wanxingai/LightAgent) | [![GitHub Repo stars](https://img.shields.io/github/stars/wanxingai/LightAgent?style=social)](https://github.com/wanxingai/LightAgent) | Agent framework | Documentation includes a multi-agent troubleshooting section built around WFGY-style failure mapping. | [PR #24](https://github.com/wanxingai/LightAgent/pull/24#event-23265428525) |
| [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 | Publicly cites WFGY as a practical diagnostic resource for multimodal RAG. | [PR #4](https://github.com/llm-lab-org/Multimodal-RAG-Survey/pull/4) |
## What this page means
The safest reading is:
- WFGY already has real public ecosystem traction
- the strongest traction today is around the **ProblemMap** line
- WFGY is most visible as a **diagnostic and debugging layer** for RAG and agent systems
- this is stronger than a purely theoretical project, but should **not** be exaggerated into full enterprise-adoption claims
## What this page does not claim
This page does not claim that:
- every listed project is a paid customer
- every listed project uses the full WFGY ecosystem
- every listed project has deployed WFGY in production
- every public reference implies endorsement of all WFGY directions
This page is intentionally narrow: it shows the strongest public adoption evidence first.
## Need the full list?
For the full, continuously maintained ecosystem record, including broader curated lists, discussions, and weaker-but-still-useful public mentions, go to:
- [WFGY Recognition Map](https://github.com/onestardao/WFGY/blob/main/recognition/README.md)
## Related pages
- [WFGY main repository](https://github.com/onestardao/WFGY)
- [WFGY Recognition Map](https://github.com/onestardao/WFGY/blob/main/recognition/README.md)
- [RAG 16 Problem Map](https://github.com/onestardao/WFGY/blob/main/ProblemMap/README.md)
- [Global Debug Card](https://github.com/onestardao/WFGY/blob/main/ProblemMap/wfgy-rag-16-problem-map-global-debug-card.md)
- [Work with WFGY](https://github.com/onestardao/WFGY/blob/main/WORK_WITH_WFGY.md)