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Design a knowledge graph system that extracts entities and relationships from unstructured text, stores them in a graph database, and supports complex queries and reasoning. The system powers applications like semantic search, question answering, fraud detection, and drug discovery. Key features: Entity extraction from unstructured text (NER). Relation extraction between entity pairs.
Nodes
10B+
Edges
100B+
Entity types
1000+
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