[Feature Request]: Structured RAG failure-mode checklist based on the WFGY 16-problem map

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Feature Request Description

Hi RAG-Anything team,

RAG-Anything provides a flexible framework for building RAG systems across different document types and retrieval strategies. As more users deploy it in real pipelines, recurring failure patterns begin to appear that are often misattributed to the LLM itself.

I maintain an open-source diagnostic taxonomy called the WFGY RAG 16 Problem Map (MIT), which classifies common RAG and agent failure modes into 16 structural categories.

Repository: https://github.com/onestardao/WFGY

ProblemMap reference: https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md

Feature proposal:

Add a lightweight “RAG-Anything failure-mode checklist” page in the documentation that:

Maps typical RAG-Anything failure symptoms to a subset of the 16 structured failure categories (e.g., ingest gaps, filter mismatch, retrieval drift, interpretation collapse, chain divergence, memory inconsistency).

Provides a short checklist of what to inspect in RAG-Anything configuration (retriever setup, index options, chunking strategy, update pattern, tool integration).

Suggests minimal verification tests so users can confirm whether the issue is retrieval-level, orchestration-level, or model-level.

The goal is not to introduce new infrastructure, but to give users a shared vocabulary for debugging and reduce repeated “LLM hallucination” reports that are actually pipeline configuration issues.

If helpful, I can prepare a draft documentation page aligned with your existing docs style and open a PR for review.

Additional Context

The same 16-problem taxonomy has been referenced or integrated in multiple RAG-related projects and research contexts, including:

RAGFlow (RAG troubleshooting documentation) LlamaIndex (RAG diagnostics documentation) ToolUniverse (Harvard MIMS Lab) Rankify (University of Innsbruck) Multimodal RAG Survey (QCRI LLM Lab)

curated lists such as Awesome LLM Apps and Awesome Data Science (academic)

I would tailor the checklist specifically to RAG-Anything’s architecture and examples, focusing on reproducible debugging scenarios rather than abstract theory.

Happy to adapt based on maintainer feedback.