HyGRAG introduces a hierarchical graph RAG framework that integrates contextual and relational information through synthesized summaries. It enables emergent knowledge retrieval via context and relation-aware search across abstraction levels and supports dynamic updates with local re-summarization. Experiments show a 9.7% improvement in multi-hop reasoning accuracy.