Suggestion: add WFGY RAG 16 Problem Map as a practical troubleshooting companion for RAG and AI app lessons

[onestardao]

Hi, I’d like to suggest a small docs-only resource that may fit well here as a practical companion for learners who move from basic setup into real-world debugging.

The resource is the WFGY RAG 16 Problem Map, a framework-agnostic troubleshooting checklist for diagnosing common RAG and LLM pipeline failures.

It is designed to help classify issues such as:

• retrieval misses
• stale or conflicting context
• chunking / embedding mismatch
• citation instability
• answer inconsistency
• multi-step reasoning breakdowns

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

I think this may be useful as a supplemental troubleshooting reference for learners who are building search, RAG, and agent-style applications and want a structured way to understand what typically goes wrong after initial setup.

This resource has already been referenced or integrated by multiple public RAG / LLM ecosystem projects, including:

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

If this seems appropriate, I’d be happy to open a very small PR with:

• a one-line description
• a minimal link entry
• wording adapted to the style of this repository

Thanks for your time.

[github-actions]

👋 Thanks for contributing @onestardao! We will review the issue and get back to you soon.

[vepretski]

7ya.io

[github-actions]

This issue has not seen any action for a while! Closing for now, but it can be reopened at a later date.