13 minutesRAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models
Choose between prompt engineering, RAG, fine-tuning or a combination based on the actual failure mode.
AdvancedAI for Business
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.
Last reviewed: May 18, 2026
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Take it further
Hand-picked external courses that go deeper on this topic.
Coursera · Emory UniversityGenerative AI in Marketing
Emory University Goizueta Business School faculty
The deeper, university-level counterpart to our beginner HubSpot marketing pick — Emory's business-school treatment goes past 'how to prompt' into training generative models for brand-specific output, the purchase-funnel economics of AI-generated content, and a full module of genuine skepticism about when generative AI is and isn't worth using in marketing.
Advanced~14 hours · self-paced (4 modules)
Coursera · IBMGenerative AI for Executives and Business Leaders
IBM AI Academy
The genAI-era answer to the executive-strategy question. Three short courses aimed squarely at business leaders — no technical background required — on where generative AI creates value, how to govern it responsibly, and how to turn a vague "we should use AI" into a concrete, defensible use case. Rated 4.6 across ~700 reviews. Best taken before your next AI budget decision.
Advanced~10 hours · 3-course specialization