
OncoLens
A RAG system over the oncology research literature: search by concept and get back the exact paper and the passage where it appears.
A retrieval system over 3,166 peer-reviewed oncology papers (180,850 passages) from PubMed and PMC, each held as verbatim full text. Search by concept and it returns the paper and the exact passage where the concept appears, with character offsets into the source, built for the R&D question of what is known about a target, which a set of papers answers, not one. Papers are embedded with OpenAI and clustered into an interactive WebGL galaxy of the corpus, its regions auto-named from NLM's MeSH indexing.


