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

a year ago

NASA is building a People Knowledge Graph using graph databases and LLMs to enhance people analytics.
The initiative helps identify experts, form teams, and plan future skills by connecting people, projects, and skills.
Key components include Memgraph for real-time graph queries, AWS cloud infrastructure, and an LLM-powered RAG chatbot.
Data sources include personnel data, AI/ML projects, and resumes, with skills extracted using Ollama.
The graph schema includes nodes for employees, projects, skills, and more, labeled as 'Entity' for vector indexing.
Live demos showcased Cypher queries for expert finding, leadership reports, and project similarity analysis.
Future plans include scaling to 500K nodes, improving data quality, and expanding the graph with learning goals.
NASA chose Memgraph over Neo4j for cost efficiency, Python compatibility, and ease of transition.

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