The RAG Playbook: Retrieval Techniques for Production AI
Hosted by Aishwarya Srinivasan & Arvind Narayan and Arjun Patel
In this video
What you'll learn
Design Better RAG Storage
Match Retrieval Methods to User Queries
Benchmark and Improve RAG Retrieval
Why this topic matters
You'll learn from
Aishwarya Srinivasan & Arvind Narayan
AI Engineers | Building & Teaching @ The Gen Academy
Aishwarya Srinivasan is the co-founder of The Gen Academy and one of the world's most recognized AI educators, with a community of over 1.2 million AI professionals across social platforms. Previously, she led AI Developer Relations at Fireworks AI and spent over a decade building AI products and ecosystems at Google, Microsoft, and IBM. She holds a Master's in Data Science from Columbia University. Known for breaking down complex AI concepts with clarity and honesty, Aishwarya teaches builders how to move beyond demos and develop production-ready AI systems that solve real business problems.
Arvind Narayanamurthy is the Co-founder of The Gen Academy, Previously AI Solutions Architect at Ema, and Founder of Eikos Health. He has built and deployed enterprise AI systems across Microsoft, IBM, Adobe, and high-growth startups, leading initiatives that translated machine learning into measurable business impact. Arvind holds a Master's degree from Carnegie Mellon University. His teaching focuses on first-principles thinking, practical engineering, and helping builders design, evaluate, and deploy reliable AI systems for production.
Arjun Patel
Senior Developer Advocate @Pinecone
Arjun Patel is a Senior Developer Advocate at Pinecone, where he helps developers build production-ready AI applications using vector databases, RAG, and agentic AI. He creates technical content, open source examples, and hands-on workshops that simplify complex AI concepts into practical building patterns. Before Pinecone, Arjun worked across data science and NLP, and holds a degree in Statistics from the University of Chicago
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