Building Your First RAG Pipeline in Python with Azure Open AI and Azure Cosmos DB and Chroma DB

Retrieval-Augmented Generation (RAG) is transforming how AI applications deliver accurate, context-aware answers — and Python makes it more accessible than ever. In this hands-on session, we’ll build a complete RAG pipeline from scratch, covering document ingestion, embedding generation, vector search, and response generation. Whether you’re new to AI or looking to move beyond prompt engineering, you’ll leave with working code, a clear mental model, and the confidence to build your own RAG-powered applications.

Balaji Venkatasubramaniyar is a Technical Lead at Wisdom Infotech, leading a 15+ person engineering team delivering enterprise solutions at Sedgwick. With 13+ years of experience in enterprise software and insurance technology, he specializes in agentic AI systems, RAG architectures, and vector databases. A speaker at Scenic City Summit 2026, AgentCamp Memphis, and VIT University, Balaji is an IEEE Member and active contributor to the Memphis tech community.