CASE STUDY: Using RAG To Help Cure Rare Diseases

Using RAG (Retrieval Augmented Generation) and “ground truth” knowledge bases (in this case, Pubmed papers and curated articles) to find cures for rare diseases.

CASE STUDY: How AI Can Help Cure Rare Diseases


Are you keeping track of which origin of the data is contributing most to the valid results?

I am curious if the PubMed PDFs contribute most of the valid results.

For each response, the origin of the chunks is used to calculate the citations (in the citation calculation algorithm – based on the passed in chunks and the response from GPT-4)

That part I am not sure about – because it will depend on whatever queries users are doing (that’s more of an analytics thing I guess)

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