KARMA introduces a novel framework that uses collaborative LLM agents to automatically extract structured knowledge from scientific literature, eliminating manual curation bottlenecks.

• Deploys nine specialized AI agents that work together on entity discovery, relation extraction, and conflict resolution
• Extracts biomedical knowledge directly from unstructured PubMed articles across multiple domains
• Creates comprehensive knowledge graphs that can power AI systems with up-to-date scientific information

This breakthrough enables healthcare organizations to continuously update medical knowledge bases from the latest research, potentially accelerating clinical decision support and biomedical innovation.

KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment