Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn to construct a ChatGPT Retrieval-Augmented Generation (RAG) data pipeline in this 27-minute technical presentation from CNCF. Explore how to combine RisingWave's stream processing capabilities with vector storage for real-time data processing from X (formerly Twitter) feeds. Follow along with live coding demonstrations that showcase the integration of Kafka for data ingestion, RisingWave for stream processing and analysis, and PgVector for vector embeddings storage. Master the process of creating prompts based on top hashtags identified through stream processing, and discover how to implement these prompts in a RAG-based chatbot. Gain practical insights into building efficient, real-time GenAI applications that leverage cloud-native technologies for enhanced data processing and similarity search capabilities.