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Unleash cutting-edge GenAI with a data streaming platform. Build RAG use cases with real-time, contextual and trustworthy data for your LLMs, vector databases, and GenAI applications.

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The Developer's Guide to RAG

Step-by-step guide on building retrieval-augmented generation for real-time GenAI applications with data streaming.

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What Is Flink AI Model Inference?

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A Distributed State of Mind: Event-Driven Multi-Agent Systems

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How to Build RAG Using Confluent with Flink AI Model Inference and MongoDB

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Real-Time AI Use Cases

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AI-Powered Supply Chain at GEP Worldwide

Hear GEP's story on using data streaming in their AI stack to help power a GenAI chatbot that provides real-time, contextualized insights for enterprise customers.

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Scaling AI Agents at Reworkd

Combining LLMs with Confluent data streaming makes it possible to scale agents that can write, test, and iterate on web scraping code.

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Live Ecommerce Recommendations at Whatnot

AI projects can only be successful with fresh, accurate data. Real-time streaming powers in-the-moment recommendations for greater user engagement.

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AI Service Chatbot at Penske

Learn how Penske is using the power of data streaming and AI to drive better customer experiences, including maximizing fleet uptime for its trucking customers.

Why Confluent Data Streaming Platform

Build a real-time, contextualized, and trustworthy knowledge base for your GenAI applications. 

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Stream

Continuously capture and share real-time events with AI systems and applications.

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Connect

Integrate disparate data from any environment with 120+ pre-built and custom connectors.

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Process

Use Flink stream processing to enrich data with real-time context at query execution.

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Govern

Use data lineage, quality controls and traceability to ensure data for AI is secure and verifiable.

Accelerate Your Journey to GenAI with Confluent + Partners

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