药物研发周期缩短 87% — 归功于图技术
aws graphrag 通过统一专有数据库将药物开发周期缩短了 87%，这标志着高风险研发正从向量嵌入转向结构化图谱。
a pharmaceutical deployment using aws graphrag reduced drug development cycles by 87% by integrating proprietary databases into a unified knowledge graph. the system replaced a six-month, low-yield vector search process with a graph-based approach that connects previously siloed data points, significantly accelerating the initial screening phase. this adoption signals that enterprise r&d is moving beyond basic embeddings to graph-based retrieval augmented generation to handle complex, private data. the shift suggests that while vector databases excel at semantic search, knowledge graphs are superior for reasoning over interconnected scientific data.