Five Key GraphRAG Architecture Patterns
Five distinct architectural patterns for GraphRAG systems, from semantic clustering to query augmentation.
Five key architecture patterns for GraphRAG: 1) Graph-Enhanced Semantic Clustering — Uses knowledge graphs to improve clustering of semantically related content. 2) Entity-Centric Retrieval — Retrieves information by first identifying relevant entities. 3) Community-Based Summarization — Leverages hierarchical community structures for multi-level summarization. 4) Hybrid Vector-Graph Retrieval — Combines vector similarity search with graph traversal. 5) Query-Augmented Graph Traversal — Enhances user queries with graph context before retrieval.
Tags
design-patternsarchitecturevector-dbgraph-dbenterprise