Premise Selection for RAG: Retrieve What’s Necessary, Not What Looks Similar

by Euiin Yi3 months ago

0

Toda's RAG mostly retrieves similar-looking text. But reasoning often needs prerequisites, not paraphrases. What if we adapt mathematical premise-selection ideas to general corpora, retrieving chunks because they are logically necessary for the target conclusion, even if they share no keywords?

RAG Information retrieval

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If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:

@misc{yi-premise-selection-for-2026,
  author = {Yi, Euiin},
  title = {Premise Selection for RAG: Retrieve What’s Necessary, Not What Looks Similar},
  year = {2026},
  url = {https://hypogenic.ai/ideahub/idea/9598bHD7ls28NfBz54wl}
}

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