Stop Graphing Everything: When GraphRAG Actually Beats Vector RAG
If you have built anything with retrieval-augmented generation (RAG) in the last two years, you have lived its central frustration: You chop your documents.
Why It Matters
Selecting the wrong retrieval architecture leads to unnecessary system complexity and poor query performance in LLM applications.
Implications
- GraphRAG provides superior performance for multi-hop queries but introduces significant indexing overhead.
- Standard Vector RAG remains more cost-effective and simpler for straightforward semantic search tasks.
Strategic Outlook
Architects will increasingly adopt hybrid RAG systems that dynamically route queries based on complexity.
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