GenAI is here, but where’s it going next?

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.

A data streaming platform enables AI agents to operate dynamically, processing and acting on real-time events. Learn the anatomy of an agent, how to build singular to multi-agent systems, design patterns for scalable architectures, and real-world agentic AI applications.

Unlock AI's full potential! 🚀 In this ebook, you’ll learn how to turn data into business value—and how Confluent data streaming platform fuels your AI stack to help you drive smarter decisions, faster innovation, and competitive advantage.

Learn how Anthropic’s Model Context Protocol (MCP) and Confluent Data Streaming Platform enable AI agents to operate on real-time data and scale across enterprise environments. The demo tutorial shows how to implement MCP Server and use Claude LLM with connectors, Flink, and Stream Governance to interact with data in natural language.

Learn how to build, deploy, and orchestrate event-driven Streaming Agents on Apache Flink® and provide fresh context for agents to monitor and autonomously act on real-time operations. See a demo tutorial with Flink, Claude LLM, tool calling with Anthropic's Model Context Protocol (MCP), embeddings and vector search for agentic RAG with MongoDB.

Unlock the full potential of Generative AI with real-time data. Join Confluent and Google Cloud to learn how to build intelligent, event-driven agents using A2A, MCP, and a real-time backbone powered by Confluent and Google Cloud AI.

Explore a demo of the Oracle XStream CDC Source Connector—a high-performance solution that transforms your approach to real-time AI personalization. Stream database changes faster, build AI engines that respond instantly to customer interactions, and set up multi-channel experiences in real time.

Relying on stale, disparate data from across your systems can impact AI model accuracy and development. Confluent offers fully managed data streaming capabilities to stream, connect, process and govern data for business critical applications.

See how you can integrate real-time data streams with AWS services, such as Amazon Bedrock and Amazon SageMaker, in this session. Gen AI experts will walk through real world use cases and share valuable strategies for improving your AI applications.

In this GenAI tutorial webinar by Confluent and MongoDB, you’ll learn how to build retrieval-augmented generation (RAG) in 4 key steps: data augmentation, inference, workflows, and post-processing. See a step-by-step walkthrough of vector embedding and get all your questions answered in a live Q&A.