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In this session, we will discuss some recent developments in Generative AI and how those can be leveraged to build intelligent applications. Learn how to bring the power of large language models (LLMs) to your private, real-time operational data across multiple data types. We will talk about improving the accuracy of LLMs in your applications by leveraging Retrieval Augmented Generation, which provides proprietary knowledge to the LLM.
From real-time responses to sophisticated interactions, learn how you can easily build a range of AI-driven experiences that leverage your operational data with minimal complexity.
MongoDB Atlas provides native vector search capabilities and a flexible document model all within an enterprise-ready developer data platform empowering teams to iterate quickly on applications enriched with generative AI. Coupling Atlas with Confluent makes it easier to leverage streaming data when informing LLMs with proprietary data.