RAG vs Fine-Tuning - When to Use Each
A practical guide to choosing between RAG and fine-tuning for your AI project, with cost comparisons, latency trade-offs, and a decision framework.
Priya Raghavan
AI Education & Guides Writer
Priya is an AI educator and technical writer whose mission is making artificial intelligence approachable for everyone - not just engineers. She spent five years as a product manager at an edtech company in Bangalore before moving to the Bay Area, where she began writing about AI for mainstream audiences.
She holds an MBA from the Indian School of Business and a Bachelor's in Electronics Engineering from BITS Pilani. Her product management background gives her a sharp eye for how AI tools actually fit into people's workflows, not just how they perform on benchmarks.
At Awesome Agents, Priya writes guides, tutorials, and explainers aimed at beginners and non-technical professionals. She covers everything from prompt engineering basics to building your first AI agent. Her articles are consistently the most-shared on the site because she never assumes you already know the jargon.
She also co-hosts a monthly "AI Office Hours" livestream where readers can ask questions about getting started with AI tools.
Based in San Francisco, CA.
Articles by Priya Raghavan
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