New 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
MongoDB Atlas is the leading
multi-cloud developer data platform that accelerates and simplifies
building modern applications with a highly flexible, performant,
and globally distributed operational database at its core. By
providing an integrated set of data and application services in a
unified environment, MongoDB Atlas enables development teams to
quickly build with the security, performance, and scale modern
applications require. Millions of developers and tens of thousands
of customers across industries—including Cisco, GE Healthcare,
Intuit, Toyota Financial Services, and Verizon—rely on MongoDB
Atlas every day to innovate more quickly, efficiently, and
cost-effectively for virtually every use case across the
enterprise. To get started with MongoDB Atlas, visit
mongodb.com/atlas.
About MongoDB
Headquartered in New York, MongoDB's mission is to empower
innovators to create, transform, and disrupt industries by
unleashing the power of software and data. Built by developers, for
developers, MongoDB's developer data platform is a database with an
integrated set of related services that allow development teams to
address the growing requirements for today's wide variety of modern
applications, all in a unified and consistent user experience.
MongoDB has tens of thousands of customers in over 100 countries.
The MongoDB database platform has been downloaded hundreds of
millions of times since 2007, and there have been millions of
builders trained through MongoDB University courses. To learn more,
visit mongodb.com.
Forward-looking Statements
This press release includes
certain "forward-looking statements" within the meaning of Section
27A of the Securities Act of 1933, as amended, or the Securities
Act, and Section 21E of the Securities Exchange Act of 1934, as
amended, including statements concerning MongoDB's expanded
collaboration with Google Cloud. These forward-looking statements
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and intentions and other statements contained in this press release
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Furthermore, actual results may differ materially from those
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variety of assumptions, uncertainties, risks and factors that are
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operating results; economic downturns and/or the effects of rising
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and retain additional highly-qualified personnel; and the price
volatility of our common stock. These and other risks and
uncertainties are more fully described in our filings with the
Securities and Exchange Commission ("SEC"), including under the
caption "Risk Factors" in our Annual Report on Form 10-K for the
year ended January 31, 2024, filed
with the SEC on March 15, 2024, and
other filings and reports that we may file from time to time with
the SEC. Except as required by law, we undertake no duty or
obligation to update any forward-looking statements contained in
this release as a result of new information, future events, changes
in expectations or otherwise.
MongoDB Public Relations
press@mongodb.com
[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."
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SOURCE MongoDB, Inc.