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

https://www.ragsplain.com/

4•fredthedeve•6mo ago

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

chrisxlucas•6mo 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.

datafog•6mo ago

I like the idea of this. When I tried a couple things it didn't work. Either too long or nothing happened after I clicked the 2nd button. Maybe an example page would be nice.

fredthedeve•6mo ago

Thanks a lot for the feedback! Really appreciate you trying it out. For longer videos, transcription can definitely take a bit... I'm working on moving processing to more powerful servers (currently running off my home machine)

For a quick overview on how it works and to get past those initial steps, this demo video of ragsplain might help:

https://youtu.be/BwuA_e7Xn74

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