Graph Patterns
Patterns for leveraging graph structures in AI systems. This pillar covers knowledge graph construction, graph-enhanced retrieval, graph-structured reasoning, and entity resolution — the techniques that unlock multi-hop reasoning and relationship-aware AI.
Patterns
Section titled “Patterns” GraphRAG Augment RAG with knowledge graphs for multi-hop reasoning, entity relationships, and structured context that vector search alone cannot provide.
Graph of Thoughts Structure LLM reasoning as a directed graph where thoughts branch, merge, and loop to solve complex problems that linear chains cannot.
Entity Resolution Graph Use graph-based approaches to deduplicate, link, and merge entity mentions across heterogeneous data sources into a unified knowledge graph.