
AWS GraphRAG framework cuts drug discovery cycles by 87 percent
Pharmaceutical research teams are slashing development timelines from six months to three weeks by deploying AWS-based knowledge graphs. By unifying fragmented internal databases with public medical records, the system transforms isolated laboratory notes and clinical metrics into a searchable network that drastically accelerates hypothesis testing.






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