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Building Agentic RAG Applications with MongoDB and LlamaIndex

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Agentic RAG is the next evolution of retrieval-augmented generation (RAG) applications. They enable your AI-powered systems — fueled by personalized information based on user context and preferences — to provide more relevant, accurate answers for an enhanced user experience.

Whether you're already building RAG applications or just getting started, this webinar will help you take the next step by adding agentic capabilities using MongoDB and LlamaIndex to your gen AI strategy. We’ll show you how to go from basic to agentic RAG applications, and as an added bonus, we’ll show you how to use hybrid search to optimize the application for relevance.

Join us for this webinar, where Anaiya Raisinghani, Developer Advocate at MongoDB, and Laurie Voss, VP of Developer Relations at LlamaIndex, will explore the deep integration between MongoDB Atlas and LLamaIndex and provide valuable insights that will help you:

  • Progress from basic to advanced retrieval.
  • Optimize for relevance using hybrid search.
  • Build Agentic RAG apps using MongoDB and LlamaIndex.

Don't miss your chance to dive deep into the future of RAG applications and see how MongoDB and LlamaIndex can empower you to build next-gen solutions.