How NASA is Using Graph Technology and LLMs to Build a People Knowledge Graph

NASA has developed a People Knowledge Graph using graph databases and large language models (LLMs) to improve people analytics, enabling the identification of experts, team formation, and skill planning. The system, powered by Memgraph and running on secure AWS infrastructure, connects people, projects, and skills, allowing real-time insights through Cypher queries and a chatbot interface. The initiative addresses the limitations of traditional relational databases by modeling complex relationships and supporting subject matter expert discovery, project similarity analysis, and organizational insights. The graph schema includes nodes such as employees, skills, and projects, with future plans to expand the graph significantly. The project also leverages cosine similarity for project relationship analysis and stores embeddings for similarity searches. Despite its evolving nature, NASA aims to enhance data quality, automate pipelines, and scale up the People Graph to encompass over 500,000 nodes and millions of edges.

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