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Watch a live demonstration showcasing NVIDIA DGX Spark's capabilities for local GraphRAG and graph analytics, featuring text processing with large language models up to 120 billion parameters. Explore how the entire workflow runs on DGX Spark's 128GB unified memory system, demonstrating the extraction of nodes and relationships from local biomedical research papers to construct a context-aware Knowledge Graph using ArangoDB. Learn about the practical implementation of GraphRAG (Graph Retrieval-Augmented Generation) technology for processing and analyzing textual data at scale, with real-world applications in biomedical research. Discover how DGX Spark's unified memory architecture enables efficient handling of massive language models while maintaining local data processing capabilities, eliminating the need for external cloud services and ensuring data privacy and security.
