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How to effectively build and scale retrieval-augmented generation (RAG) for real-time Generative AI applications using Confluent’s Data Streaming Platform. Leverage connectors, Flink, and stream governance across 4 steps: data augmentation, inference, workflows, and post-processing.
This whitepaper is an in-depth guide to building streaming pipelines to data warehouses. Covers source and sink connectors (with Change Data Capture capabilities), stream processing with Kafka Streams and ksqlDB, with use cases and operational considerations.
Data streaming has given businesses the ability to move data in real time, but to stay competitive, they need to transform their architecture. See how you can benefit from a framework for building a Data Streaming Organization capable of turning data streams into innovation and business value.