Modernize Legacy Data for Real-Time AI with Oracle & MongoDB

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Details a use case for modernizing legacy data (Oracle) for real-time AI applications by streaming changes to Kafka, enriching and embedding data with Flink and LLMs, and sinking embeddings to MongoDB for semantic search and personalization. Demonstrates building real-time AI solutions with event-driven architecture, even for non-cloud-native organizations. Includes Flink SQL examples for generating product descriptions using GPT-4 and generating vector embeddings using OpenAI models.