Generative AI (GenAI) enables advanced AI use cases and innovation but also changes how the enterprise architecture looks like. Large Language Models (LLM), Vector Databases, and Retrieval Augmentation Generation (RAG) require new data integration patterns and data engineering best practices. Data streaming with Apache Kafka and Apache Flink play a key role to ingest and curate incoming data sets in real-time at scale, connecting various databases and analytics platforms, and decouple independent business units and data products. This blog post explores possible architectures, examples, and trade-offs between event streaming and traditional request-response APIs and databases.
Apache Kafka + Vector Database + LLM = Real-Time GenAI
