MongoDB to integrate MongoDB Atlas Vector Search with Amazon Bedroc

MongoDB to integrate MongoDB Atlas Vector Search with Amazon Bedroc

MongoDB is to integrate MongoDB Atlas Vector Search with Amazon Bedrock – enabling organisations to build next-generation applications on Amazon Web Services (AWS).

This integration will make it easier for developers to create applications on AWS that use generative AI to complete complex tasks for a wide range of use cases and deliver up-to-date responses based on proprietary data processed by MongoDB Atlas Vector Search.

“Customers of all sizes from startups to enterprises tell us they want to take advantage of generative AI to build next-generation applications and future proof their businesses. However, many customers are concerned about ensuring the accuracy of the outputs from AI-powered systems while protecting their proprietary data,” said Sahir Azam, Chief Product Officer, MongoDB.

“With the integration, we’re making it easier for our joint-AWS customers to use a variety of foundation models hosted in their AWS environments to build generative AI applications that can securely use their proprietary data to improve accuracy and provide enhanced end-user experiences.”

“In this next wave of widespread AI adoption, organisations want to strengthen their data strategies to develop differentiating and competitive generative AI solutions,” said Vasi Philomin, Vice President of Generative AI, AWS.

“The integration will help customers tightly align their data strategies to build and scale generative AI innovations. With a relationship spanning more than a decade, we look forward to continuing our momentum with MongoDB and enabling our joint customers to make the most of generative AI.

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