Improving and Evaluating Your RAG Application

  On Demand


In this hands-on session, you’ll learn how to leverage the power of MongoDB to build and optimize your RAG applications while ensuring their performance and reliability using Arize’s AI observability and evaluation platform.

Our expert instructors will guide you through the process of:

  • Setting up and configuring MongoDB as the foundation for your RAG application
  • Implementing best practices for data storage, retrieval, and augmentation
  • Integrating Arize’s AI open-source observability tool, Phoenix, to analyze and debug your RAG application’s performance
  • Conducting comprehensive evaluations and benchmarking using Arize’s LLM evaluation suite
  • Identifying and addressing common challenges in RAG application development and deployment

By the end of the session, you’ll have a solid understanding of how MongoDB and Arize can work together to help you build, evaluate, and maintain high-performing RAG applications.

Watch The Recording


Aparna Dhinakaran
CPO & Co-Founder @ Arize AI

Prakul Agarwal
Senior Product Manager, AI @ MongoDB

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