RAG Retrieval Quality Audit
4
discussions evidencing this problem
Diagnostic tool that tests your RAG pipeline against real queries, identifies retrieval failures, and recommends whether to add hybrid search, restructure documents, or switch to agentic retrieval.
4×
discussions evidencing this
5
pain statements
4
distinct people
2
communities
What a useful estimator would help with
It could help you work out:
- Retrieval failure report
- Recommended improvements (hybrid/graph/agentic)
- Implementation priority
Based on sample queries, document chunks or database schema, current retrieval method.
Where the evidence comes from
A sample of the discussions behind this problem.
I tried to replicate how frontier labs use agent sandboxes and dynamic model routing. It’s open-source, and I need senior devs to tear my architecture apart.
r/LLMDevs
If RAG is dead, what will replace it?
r/LLMDevs
Why does my RAG system give vague answers?
r/AI_Agents
+ 1 more discussion in the complete analysis, with links to each.
Investigate this idea
Use this as a starting point. Narrow the audience or workflow, then check whether the evidence supports your version.
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Sourced from r/LLMDevs and r/AI_Agents. The complete analysis adds:
- The verbatim excerpts behind every pain statement
- The complete source-discussion list, with links to each
- The full set of capabilities people asked for
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