Naya x Polymath: Designing your first RAG system

​Join us for an interactive workshop on Building Your First RAG System!

​This session will introduce you to Retrieval-Augmented Generation (RAG) in a practical and accessible way. We'll cover the basics of RAG, and show you how to use the Naya platform to do a high-level system design.

No prior technical understanding is required—making it perfect for product managers, consultants, and others looking to explore how RAG can enhance AI-driven projects.

​Agenda:

​✅ What RAG is and why it’s essential for improving AI outputs.

​✅ Key components like chunking, embedding models, and vector databases.

​✅ Hands-on experience designing and creating a high-level view of a RAG system using the Naya platform.

​By the end of the workshop, you should have a solid understanding of what RAG systems are and how they function.

Speakers:
Tanmay Dhote
Tanmay is a co-founder at Polymath AI. He has 8 years of experience in building search systems, including 6 years as a Data Scientist at Microsoft. He is an alumnus of IIT Madras, where he completed his B.Tech+M.Tech in Computer Science and Engineering.


​Pratik Rajurkar
Pratik is a co-founder at Polymath AI. He has worked in social impact consulting after beginning his career as a Fellow with Teach For India in 2015, serving as a middle school teacher in Pune.