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Description
Hi, and thanks for GPT4All. It has helped many developers experiment with local models, simple UIs, and RAG style retrieval without a large infrastructure.
I maintain an MIT-licensed open-source project called WFGY (~1.5k GitHub stars).
One of its core artifacts is a 16-problem “ProblemMap” for RAG and LLM pipelines, which groups the most common issues across:
- ingestion of PDFs, HTML, and other documents
- embeddings choice and vector store behavior
- retrieval and ranking logic
- prompt templates and tool usage
- evaluation, user feedback, and safety checks
ProblemMap overview:
https://github.com/onestardao/WFGY/blob/main/ProblemMap/README.md
This checklist is already used or cited by several external projects, such as:
- ToolUniverse from Harvard MIMS Lab
- Multimodal RAG Survey from QCRI LLM Lab
- Rankify from University of Innsbruck
A lot of GPT4All users are hobbyists or indie devs who build their first RAG pipeline. When answers look random or hallucinated, there is often no simple map that tells them where to look first.
My proposal is to add WFGY ProblemMap as an optional RAG troubleshooting guide in the GPT4All documentation, for example:
- a short section “Common RAG failure modes and how to debug them” that links to the checklist
- or a “Further reading” link at the end of the RAG tutorial pages
If you agree this might help users, I would be happy to provide:
- a concise summary of the 16 problems tailored to GPT4All workflows
- wording that keeps the docs neutral and aligned with your tone
- a PR or draft text, depending on what works best for maintainers
Thanks again for GPT4All and for considering this suggestion.