docs suggestion, add a vector search failure mode checklist for RAG builders

[onestardao]

hi maintainers, thanks for weaviate.

docs suggestion:
many RAG failures are actually vector search failure modes in disguise,
like near-duplicate collapse, metric mismatch, normalization issues, or index update skew.

proposal:
add a short checklist page, symptom-first, and map to likely causes.
taxonomy reference i use (open source):
https://github.com/onestardao/WFGY/blob/main/ProblemMap/README.md

minimal scope:

• 1 page doc, focus on "what users see" and "what to check first"
• link to existing weaviate docs for distance metrics, normalization, hybrid search weighting

if this aligns, i can draft the doc page and open a PR.

[github-actions]

👋 Thanks for opening this issue!

I found a similar issue in our tracker that might address your problem:

- Issue weaviate/weaviate#10182: RFC: RAG Lifecycle Management Using Weaviate as System of Record (LangChain-compatible)

This open feature request proposes a structured lifecycle management approach for RAG applications using Weaviate as the system of record, aligned with LangChain compatibility. It discusses operational challenges in production RAG systems and suggests organizing dataset versions, embeddings, and index generations with explicit lifecycle states, which closely matches the user's request to enhance documentation and systematize failures and symptom-driven checks in RAG workflows.

Please check if this is the same issue. If so, consider adding your input there or closing this one. Thanks for helping us keep the issue tracker organized! 🚀

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[onestardao]

Thanks for the pointer — I checked RFC weaviate/weaviate#10182, and it focuses mainly on lifecycle/versioning management for embeddings and indexes, which is great but orthogonal to the intention of this issue.

Just to clarify: my suggestion here is not a feature request, but a docs enhancement.
The goal is to provide a structured failure-mode checklist for RAG developers (similar to what was recently merged into LlamaIndex)

This checklist has also been adopted in several academic toolkits (e.g., Rankify by Univ. of Innsbruck, NCRI Multimodal RAG Survey) and is used as a practical debugging reference to help developers identify retrieval/data issues earlier.

If this aligns with Weaviate’s documentation direction, I’m happy to draft a dedicated docs page or open a PR following your preferred format.

Let me know your thoughts — thanks again!