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MongoDB Announces General Availability of MongoDB Atlas Vector Search Integration with Amazon BedrockNew integration of MongoDB Atlas Vector Search Knowledge Bases for Amazon Bedrock accelerates development of highly engaging generative AI-powered applications Novo Nordisk among customers building AI-powered applications with MongoDB Atlas Vector Search and Amazon Bedrock NEW YORK, May 2, 2024 /PRNewswire/ -- MongoDB, Inc. (NASDAQ: MDB) today at its developer conference MongoDB.local NYC announced the general availability of MongoDB Atlas Vector Search on Knowledge Bases for Amazon Bedrock to enable organizations to build generative AI application features using fully managed foundation models (FMs) more easily. MongoDB Atlas is the world's most widely available developer data platform and provides vector database capabilities that make it seamless for organizations to use their real-time operational data to power generative AI applications. Amazon Bedrock is a fully managed service from Amazon Web Services (AWS) that offers a choice of high-performing FMs from leading AI companies via a single API, along with a broad set of capabilities organizations need to build generative AI applications with security, privacy, and responsible AI. Customers across industries can now use the integration with their proprietary data to more easily create applications that use generative AI to autonomously complete complex tasks and to deliver up-to-date, accurate, and trustworthy responses to end-user requests. "Customers of all sizes, from startups to large enterprises, are starting to take advantage of generative AI to create compelling new end-user experiences. However, many businesses remain concerned about ensuring the accuracy of the outputs from AI-powered systems while also protecting their proprietary data," said Sahir Azam, Chief Product Officer at MongoDB. "With the integration of MongoDB Atlas Vector Search and Amazon Bedrock now generally available, we're making it easier for joint MongoDB-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 within MongoDB Atlas to improve accuracy and provide enhanced end-user experiences." The new integration with Amazon Bedrock allows organizations to more quickly and easily deploy generative AI applications on AWS that can act on data processed by MongoDB Atlas Vector Search to deliver more accurate, relevant, and trustworthy responses. Unlike add-on solutions that only store vector data, MongoDB Atlas Vector Search powers generative AI applications by functioning as a highly performant and scalable vector database with the added benefit of being integrated with a globally distributed operational database that can store and process all of an organization's data. Customers can use the integration between MongoDB Atlas Vector Search and Amazon Bedrock to privately customize FMs like large language models (LLMs)—from AI21 Labs, Amazon, Anthropic, Cohere, Meta, Mistral AI, and Stability AI—with their real-time operational data by converting it into vector embeddings for use with LLMs. Using Agents for Amazon Bedrock for retrieval-augmented generation (RAG), customers can then build applications with LLMs that respond to user queries with relevant, contextualized responses—without needing to manually code. For example, a retail organization can more easily develop a generative AI application that uses autonomous agents for tasks like processing real-time inventory requests or to help personalize customer returns and exchanges by automatically suggesting in-stock merchandise based on customer feedback. Organizations can also isolate and scale their generative AI workloads independent of their core operational database with MongoDB Atlas Search Nodes to optimize cost and performance with up to 60 percent faster query times. With fully managed capabilities, this new integration enables joint AWS and MongoDB customers to securely use generative AI with their proprietary data to its full extent throughout an organization, and to realize business value more quickly—with less operational overhead and manual work. Learn more how to get started building applications with MongoDB Atlas on AWS. "For more than a decade, AWS and MongoDB have been helping organizations transform their businesses with their data," said Vasi Philomin, Vice President of Generative AI at AWS. "Today, tens of thousands of organizations choose Amazon Bedrock to build generative AI applications that are tailored to their specific needs. Now with MongoDB Atlas Vector Search generally available on Knowledge Bases for Amazon Bedrock, our shared customers can more easily and quickly implement retrieval augmented generation (RAG) to glean greater insights from their data." Novo Nordisk among customers building generative AI applications with MongoDB Atlas Vector Search and Amazon Bedrock Founded in 1923 in Denmark, Novo Nordisk is a leading global healthcare company that drives change to defeat serious chronic diseases like diabetes, obesity, rare diseases, and cardiovascular conditions. "We needed to find a solution to reduce the time it takes to prepare Clinical Study Reports so we could get new life-saving treatments and therapeutics to patients faster," said Louise Lind Skov, Head of Content Digitisation at Novo Nordisk. "Using Amazon Bedrock and MongoDB Atlas, we were able to quickly build our solution NovoScribe, and we are the first in the industry to generate complete Clinical Study Reports in minutes rather than weeks. We are doing it at scale, and with just a fraction of the resources we needed in the past. It is a game changer for healthcare around the world." This announcement and more will be featured in the MongoDB.local NYC keynote delivered by MongoDB President and CEO Dev Ittycheria and Chief Product Officer Sahir Azam, which can be viewed today via live-stream here beginning at 10:00am ET. About MongoDB Atlas About MongoDB Forward-looking Statements MongoDB Public Relations [NOT APPROVED] Acoustic is a customer-obsessed marketing technology company committed to creating powerful tools that are easy to use. "At Acoustic, we empower organizations with insights about how their customers interact with their brand to help them optimize and personalize customer experiences," said John Riewerts, EVP of Engineering at Acoustic. "We've been using MongDB Atlas Stream Processing to power real-time customer insights and have had a seamless experience. Given that success, we're excited to use MongoDB Atlas as a Knowledge Base for Amazon Bedrock to enrich insights with generative AI to power everything from summarizations to agents that can automate tasks." View original content to download multimedia:https://www.prnewswire.com/news-releases/mongodb-announces-general-availability-of-mongodb-atlas-vector-search-integration-with-amazon-bedrock-302133654.html SOURCE MongoDB, Inc. |