Hi, thank you for maintaining this AI engineering resources list. The collection is very practical for people moving into real system work.
I would like to suggest adding WFGY ProblemMap as a resource for debugging RAG and LLM application pipelines.
WFGY ProblemMap is an open source map of 16 common failure modes in RAG and LLM pipelines, with clear symptoms and fix patterns. It focuses on issues engineers hit in production, including knowing when retrieval is the real bottleneck, embedding and vector store pitfalls, chunking contract breaks, prompt injection handling, and evaluation blind spots.
Link:
https://github.com/onestardao/WFGY/blob/main/ProblemMap/README.md
Possible short entry text:
WFGY ProblemMap: a 16 problem diagnostic map for RAG and LLM pipelines, with practical fixes and checklists.
If you prefer a PR instead of an issue, I am happy to follow the format you use.
Hi, thank you for maintaining this AI engineering resources list. The collection is very practical for people moving into real system work.
I would like to suggest adding WFGY ProblemMap as a resource for debugging RAG and LLM application pipelines.
WFGY ProblemMap is an open source map of 16 common failure modes in RAG and LLM pipelines, with clear symptoms and fix patterns. It focuses on issues engineers hit in production, including knowing when retrieval is the real bottleneck, embedding and vector store pitfalls, chunking contract breaks, prompt injection handling, and evaluation blind spots.
Link:
https://github.com/onestardao/WFGY/blob/main/ProblemMap/README.md
Possible short entry text:
WFGY ProblemMap: a 16 problem diagnostic map for RAG and LLM pipelines, with practical fixes and checklists.
If you prefer a PR instead of an issue, I am happy to follow the format you use.