Hi, suggesting BGPT as a possible complementary literature evidence source for KG-RAG workflows.
BGPT is a REST, Python, OpenAPI, Postman, and MCP API that searches scientific papers and returns structured evidence fields, not just paper titles or abstracts.
Links:
Why it may fit KG-RAG:
- KG-RAG provides structured biomedical context from knowledge graphs.
- BGPT could add structured study-level evidence from papers: methods, sample size/population, results, limitations, conflicts of interest, data/code availability, quality scores, study blind spots, and
how_to_falsify.
- This could help distinguish mechanistic/background KG context from primary-study evidence when answering biomedical questions.
Example query:
psychedelics PTSD randomized trial
BGPT can return phase 3 trial details, sample sizes, funding/conflict notes, outcomes, limitations around blinding/generalizability, and falsification criteria. That kind of output could be formatted as an evidence table alongside KG-derived context.
Potential use: a claim-checking mode where KG-RAG answers include both KG context and paper-level evidence-quality signals.
Hi, suggesting BGPT as a possible complementary literature evidence source for KG-RAG workflows.
BGPT is a REST, Python, OpenAPI, Postman, and MCP API that searches scientific papers and returns structured evidence fields, not just paper titles or abstracts.
Links:
Why it may fit KG-RAG:
how_to_falsify.Example query:
psychedelics PTSD randomized trialBGPT can return phase 3 trial details, sample sizes, funding/conflict notes, outcomes, limitations around blinding/generalizability, and falsification criteria. That kind of output could be formatted as an evidence table alongside KG-derived context.
Potential use: a claim-checking mode where KG-RAG answers include both KG context and paper-level evidence-quality signals.