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Adobe streamlines creative AI tools with MongoDB

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The Challenge

To seamlessly embed AI tools within its creative products, Adobe needs a comprehensive, reliable data platform.

Our Solution

Using MongoDB as an all-in-one data layer, Adobe’s AI tools can retrieve and use the necessary data with maximum efficiency.

Outcome

With MongoDB, Adobe’s users maintain their creative momentum, and internal developers can quickly create new AI solutions.

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Industry

Computer Software and Technology

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Product

Atlas

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Use Case

Gen AI

THE CHALLENGE

Advancing embedded AI capabilities

Over 800 million monthly active users rely on Adobe products, including Adobe Creative Cloud, a comprehensive suite of software addressing use cases from image and video editing to web design and PDF management. As generative and agentic AI capabilities evolve, Adobe builds and integrates new tools into its software to boost user productivity.

“We want users to be more creative by using AI not as a separate tool or layer, but embedded within the product itself,” said Muktesh Mishra, lead AI engineer and architect at Adobe, on the Newcomer podcast with Eric Newcomer at MongoDB .local San Francisco. Mishra works on the Developer Foundations team, which focuses on helping Adobe engineers to build AI applications. These tools require a comprehensive, AI-ready data platform to operate efficiently within Adobe’s existing products without workflow interruption.

 

OUR SOLUTION

Supporting AI tools with a unified data layer

Adobe uses MongoDB for its all-in-one data layer, underpinning Adobe’s continued development of embedded AI tools. When users perform AI-powered tasks—such as chatting with PDFs in Adobe Acrobat—these tools can retrieve and use the necessary data in minimal time and with full reliability.

Adobe logo
“MongoDB works well for us as a platform, because you have the storage there, you have the vector search there, you can do the search persistence, everything there in the single platform.”
Muktesh Mishra
Lead AI Engineer and Architect, Adobe

With comprehensive data solutions from MongoDB, Adobe’s community of internal developers is able to take fewer steps in any stage of development and rarely has to leave the core platform to complete a task. “MongoDB works well for us as a platform, because you have the storage there, you have the vector search there, you can do the search persistence, everything there in the single platform,” said Mishra.

 

OUTCOME

Streamlining creativity for users and tool-building for Adobe

By supporting AI-augmented functions with MongoDB, Adobe empowers users to maintain their creative momentum and reliably accomplish their visions. Similarly, Adobe developers can more quickly and responsively serve customers and users with new, robustly supported tools.

Adobe Logo
“So far, our partnership has been great. The team is pretty great. We use MongoDB in a lot of places now, in a lot of products.”
Muktesh Mishra
Lead AI Engineer and Architect, Adobe

Adobe continues to rely on MongoDB for the database support needed to bring new AI solutions to life. “So far, our partnership has been great,” said Mishra. “The team is pretty great. We use MongoDB in a lot of places now, in a lot of products.”

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