Show HN: RAGsplain – What does your RAG model see before it answers?

3 fredthedeve 1 7/15/2025, 1:52:50 PM ragsplain.com ↗

Are your RAG models hallucinating? Maybe the issue isn't the LLM, but the retrieval phase.

I built RAGsplain (ragsplain.com) to help debug this. You upload documents (PDFs, audio, YouTube links), choose a retrieval method (semantic, keyword, or hybrid), and see the exact chunks of context passed to the model — match scores included.

Turns out: when retrieval is bad, even the best model can’t think straight.

It’s open and free to use. Would love feedback from folks building RAG pipelines.

Comments (1)

chrisxlucas · 14m ago

super cool.. it's interesting to see the small advancements/features foundational model providers are starting to build in for interpretability/explainability. this is way more clear UX/UI with the % match and excerpt.

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Show HN: RAGsplain – What does your RAG model see before it answers?

Comments (1)