At a glance
Overview
See how you can add enterprise data to generative artificial intelligence (AI) in a seamless and secure way with Amazon Web Services (AWS) and MongoDB.
Date & time
Overview
Overview
About AWS Marketplace
AWS Marketplace helps our customers discover, and procure third-party software, services, and data. With AWS Marketplace, you can access thousands of software listings and improve software governance with streamlined approvals and spend visibility. Get started with our Generative AI Solutions in AWS Marketplace today. To explore MongoDB’s products available in AWS Marketplace, go to their Seller page now.
Overview
Speakers
Frederic Favelin
Head of Cloud Partner Solutions Architect, MongoDB
Igor Alekseev
Data & Analytics Partner Solutions Architect, AWS
Mai-Linh Le
Sr. Global Partner Marketing Manager – Data & Analytics ISVs, AWS
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Peccy
Peculiar Ways, Amazon
Details
Description
Organizations can struggle to bring enterprise data to generative AI due to the need to support new vector data requirements and deliver flows of multimodal data to foundational models. MongoDB Atlas and Amazon Bedrock solve this problem with a fully managed, end-to-end retrieval-augmented generation (RAG) workflow, which greatly reduces the time and infrastructure required to build generative AI applications that are accurate and scalable.
See how to streamline your generative AI stack while adding RAG to quickly launch enterprise-ready applications in this Spotlight Series event with MongoDB.
You will learn how to
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Bring real-time enterprise data to generative AI applications.
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Deploy and scale generative AI applications grounded in up-to-date and accurate enterprise information.
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Integrate MongoDB Atlas as a Knowledge Base into Amazon Bedrock’s fully managed RAG workflow.
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Optimize cost and performance with up to 60 percent faster query times with MongoDB Atlas Search Nodes on AWS.