Add WFGY ProblemMap: 16 problem map for debugging RAG and LLM pipelines (with fixes)

[onestardao]

Hi, thank you for maintaining this AI developer resources repository.

I would like to suggest adding WFGY ProblemMap as a practical debugging resource for developers building RAG and LLM applications.

What it is
WFGY ProblemMap is an open source diagnostic map of 16 common failure modes in RAG and LLM pipelines. Each problem includes symptom patterns, likely root causes, and concrete fix strategies. The focus is real world pipeline repair, not only high level explanations.

Highlights

1. Strong coverage of retrieval and embedding pitfalls that show up in production.
2. Clear mapping from observed behavior to repair steps, so engineers can act quickly.
3. MIT licensed, around 1.4k GitHub stars, and already included by multiple curated lists.
4. Optional fast start: I can share a ChatGPT conversation link that loads the map for interactive debugging.

Link:
https://github.com/onestardao/WFGY/blob/main/ProblemMap/README.md

Suggested entry:
WFGY ProblemMap: 16 problem diagnostic map for RAG and LLM pipelines, with fixes and checklists.

If you prefer a PR, I can follow the repository format.

[onestardao]

Hi, following up briefly.

The WFGY 2.0 RAG 16 Problem Map is now referenced or adopted by 20+ repos across the ecosystem, including RAGFlow, LlamaIndex, ToolUniverse (Harvard MIMS Lab), Rankify, and the Multimodal RAG Survey (QCRI LLM Lab), along with multiple curated awesome lists.

Given that traction, I wanted to reconfirm whether it would make sense to include it here as a debugging / evaluation resource.

If aligned, I can submit a minimal one-line PR in your preferred format.

Appreciate the work you’re doing on this list.