Building generative AI applications that are accurate, scalable, and secure often requires the combination of general-purpose and vector-specific databases. However, combining databases to build intelligent applications can impede agility, innovation, and efficient scaling.
MongoDB Atlas and Amazon Web Services (AWS) solve this problem, unlocking the full potential of GenAI-powered applications with an elegant Retrieval-Augmented Generation (RAG) solution that minimizes complexity and maximizes security, scalability and agility.
In this webinar, we will show how MongoDB Atlas integrates with AWS services such as Amazon CodeWhisperer, Amazon Bedrock, and AWS CloudFormation and explain why, together, MongoDB Atlas and AWS ensure the speedy launch of trailblazing Gen AI applications you can trust.
We will cover:
- How to build GenAI applications
- Why the document model is the best way to work with your data
- Take a deep dive into Atlas Vector Search
- Live demo!
