# Ebm Lens

> Agentic RAG pipeline for biomedical evidence discovery: query planning and multi-round search across twelve public databases plus citation-graph expansion, ran…

- **Website:** https://github.com/mauroforlin/ebm-lens
- **Pricing:** unknown
- **Categories:** Research, Developer Tools
- **Tags:** research, developer-tools, design
- **Platforms:** Windows, CLI
- **Last verified:** 2026-09-10
- **Canonical page:** https://linkrena.com/tools/ebm-lens

## About

recorded runs, no signup, no API key. See demo/README.md for how it's built.

Evidence discovery for biomedical questions. Give it a topic and it searches

Every evidence source is a free public API. The only account you need is for

has its own basic query planning and reranking. This repository is a full

Events instead of a single JSON response, if you want progress as it happens.

There is no database, no Redis, no job queue and no container to build. A

Goes in the User-Agent . NCBI, Crossref and OpenAlex give identified clients a more generous rate limit.

If set, clients must send a matching X-API-Key . Set it before exposing the service beyond localhost.

Only needed for a frontend on another origin. The bundled UI is same-origin.

wants MeSH-flavoured English, DailyMed wants a bare drug name, and so on.

it's going to, and checks its own work first. probe_pubmed runs a

literature behind it. If planning fails, a deterministic router picks

Comparison, Outcome form. Only the elements it actually states get filled

different sense of the same words can outrank what's actually on-topic.

paper). The loop reads its strongest results, extracts the vocabulary the

opposite blind spot. Both run, fused with citation authority, recency,

response. Citation hallucination doesn't get fixed by a better prompt, so

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