GraphRAG Implementation
When your data has relationships, not just rows
What it is
Standard RAG treats documents as isolated chunks. GraphRAG maps the relationships between entities in your data: which contractor worked on which project, which equipment was inspected by whom, which change order affected which budget line. When your AI understands connections, it answers questions that flat search cannot.
What you get
Entity and relationship extraction
We map the people, projects, assets, documents, and events in your data and how they connect to each other.
Graph-powered queries
Ask questions that span relationships. "What projects has this contractor worked on and what were the outcomes?" answered in seconds.
Cross-domain reasoning
Connect information across departments, projects, and time periods. Find patterns that siloed data makes invisible.
Built on your data
The knowledge graph is constructed from your operational records. No generic training data. Every node and edge is yours.
Who it's for
Organizations with complex, interconnected operational data. Companies where understanding relationships between entities (people, projects, assets, documents) is as important as finding individual records.