Question: would a practical RAG / LLM troubleshooting resource be considered too far outside scope?

[onestardao]

Hi, I wanted to ask this as a scope question first.

I realize this repository is Go-focused, so this may be adjacent rather than a direct fit. Still, I wanted to check whether a practical troubleshooting resource for modern LLM / RAG workflows would be considered too far outside the scope here.

The resource is the WFGY RAG 16 Problem Map, a framework-agnostic failure checklist for diagnosing common RAG and retrieval-heavy pipeline issues.

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

It is designed to help classify problems such as:

• retrieval misses
• stale context
• chunking mismatch
• answer inconsistency
• citation drift
• reasoning breakdowns

The WFGY repository is currently around 1.6k stars, and this Problem Map has already been referenced or integrated by several public RAG / LLM ecosystem projects, including:

• RAGFlow
• LlamaIndex
• ToolUniverse (Harvard MIMS Lab)
• Rankify
• Multimodal RAG Survey (QCRI LLM Lab)

I understand this may not be a match for a Go-specific awesome list. If so, no worries at all. I just wanted to check whether a practical debugging reference that many Go developers building AI systems may use would still be considered relevant.

Thanks for your time.