Building Event-Driven GenAI Applications in 4 Steps

What this post added

This post details building GenAI applications using event-driven patterns, focusing on data augmentation (chunking, embeddings, vector stores), inference, workflows, and post-processing. It emphasizes how data streaming platforms integrate disparate data sources, manage LLM calls asynchronously, and decouple components for scalability and agility, directly supporting the RAG pattern for contextualized LLM prompts.