Design a GraphRAG system that combines a knowledge graph with retrieval for relationship-heavy, multi-hop questions.
## CONTEXT Vector RAG struggles with questions about relationships, aggregations, and connections spanning many documents. GraphRAG addresses this by extracting entities and relationships into a knowledge graph and combining graph traversal with vector retrieval. In 2026 it is a strong fit for domains like compliance,…
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