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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.
Are you an IT leader looking to build data products that matter? In this action-oriented guide, you’ll learn a straightforward, strategic framework for quickly choosing the most valuable data products for your business—without getting bogged down in a long, costly analysis.
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.
Discover how organizations are cleaning up their data mess by making the shift to a data products mindset. Learn what data products are, how they deliver business value, and the best way to build them with data streaming platforms that drive real-time experiences faster and more cost-effectively.
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.