Building a Retrieval-Augmented Generation System with DuckDB & OpenAI

This presentation demonstrates how to build an end-to-end Retrieval-Augmented Generation (RAG) pipeline using Python, DuckDB, and the OpenAI API. It covers data ingestion, text chunking, embedding creation, similarity search, and AI-powered response generation, with practical code examples throughout. Attendees will gain hands-on knowledge to build, optimize, and scale a RAG solution and leave with a runnable implementation that can be adapted to their own datasets