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MediGraphRAG

构建医疗知识图谱实现 RAG,并利用 RAG 完成医学试题生成

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GITHUB · launched Oct 20, 2026 · 15 upvotes (top 76%)

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Could you build this?

Partial The RAG pipeline and exam-question generator are standard to vibe-code. However, a credible medical knowledge graph needs curated, licensed medical sources and clinical validation that an individual builder may not have.

What it would actually take: The architecture is an LLM-based entity and relation extraction pipeline that builds a graph database (such as Neo4j), followed by graph-plus-vector retrieval feeding a generator for exam questions. The hard parts are obtaining reliable, licensed medical corpora and validating extracted facts so that wrong medical claims are not produced. Medical domain experts are needed to check the graph and questions for accuracy.

Competitors

Other products that read as similar to this one : 498 launches clear the similarity bar, closest 8 shown.

Attention rank: #398 of 499 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 354 days after the earliest competitor.

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