Unigraph's choice of Dgraph as the underlying storage engine has significant technical advantages.Dgraph is a distributed database designed specifically for graph data, and its features include:
- Native support for RDF ternary storage, perfect fit for knowledge graph data models
- GraphQL-based Query Language Simplifies Writing Complex Linked Queries
- Horizontal Scalability to Support Graph Construction for Billions of Nodes
In terms of implementation details, the project ensures system performance by customizing the build of Dgraph binaries:
- Specially optimized memory management policy for standalone deployment mode
- Pre-built indexes accelerate fuzzy search for common attributes
- Dynamic loading mechanism adapts to the continuous evolution of personal knowledge graphs
Test data shows that it can respond to more than 10 layers of relational chain queries in milliseconds on ordinary consumer-grade hardware, which is a performance performance that is difficult to achieve with traditional relational databases.
This answer comes from the articleUnigraph: building locally running knowledge graphs and personal search enginesThe
May not be reproduced without permission:AI productivity tools " Dgraph Backend Architecture Empowers Unigraph with Efficient Graph Queries
