신약 개발 주기 87% 단축 — 그 비결은 바로 그래프
aws graphrag는 사내 독점 데이터베이스를 통합해 신약 개발 주기를 87% 단축했으며, 이는 고위험 r&d 분야에서 벡터 임베딩에서 구조화된 그래프로의 전환을 시사합니다.
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.