Build an AI Meeting Coach with Flink SQL, OpenAI, and Confluent

Explore how to build a real-time AI meeting coach system in this 18-minute technical demonstration that combines Confluent's data streaming platform, Apache Flink SQL, and Azure OpenAI to deliver contextual sales advice. Discover the system's architecture and learn how Retrieval Augmented Generation (RAG) leverages company-specific knowledge documents to enhance sales conversations in real-time. Follow along as the demonstration covers creating embeddings, deploying models in Azure AI Foundry, processing documents for vector search using Flink Actions, and integrating with MongoDB Vector Database. Master the implementation of vector search functions in Flink SQL and understand how GPT-4 Mini generates intelligent responses within an event-driven architecture. Gain insights into the technical highlights of building on Confluent's platform for data in motion, including the intelligent connective tissue that enables real-time data streaming across organizations. Access practical implementation details and explore the complete solution through the provided GitHub repository to build your own AI-powered meeting coach system.