Vector RAG quietly breaks on two query shapes: multi-hop chains and global 'what are the themes' questions. The signal is knowing precisely what the graph gives you and the construction cost it demands.
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What is GraphRAG, and when does it beat traditional vector RAG?
Vector RAG quietly breaks on two query shapes: multi-hop chains and global 'what are the themes' questions. The signal is knowing precisely what the graph gives you and the construction cost it demands.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
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Next in this trackWhat is Self-RAG / adaptive retrieval, and how does the model decide when to retrieve?Next in this trackWhat is the Model Context Protocol (MCP), and how do you design good tools for an agent?Next in this trackWhat is agent reflection / self-correction, and does it actually improve agent performance?
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