Graph RAG: Improving RAG with Knowledge Graphs
Prompt Engineering. A focused walkthrough of Microsoft's GraphRAG — entity extraction, community summaries, query-focused summarization — set up on a local machine with cost notes. Watch it for the graph-RAG section of the article specifically; the cost discussion is the part most write-ups skip.
AI Expert note
Setup commands and costs can drift, but the architecture is useful. Recalculate current token costs and validate whether graph construction is justified before adopting this pattern.
What you should get from this
Understand the Microsoft-style GraphRAG flow: entity extraction, communities, summaries and query-focused synthesis.
Watch or know first
Know why plain vector search can miss relationship-heavy questions.
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