New MongoDB Atlas Vector Search integration
with Amazon Bedrock to help accelerate development of highly
engaging applications powered by generative AI
Scalestack among customers excited to build
next-generation applications using MongoDB Atlas Vector Search and
Amazon Bedrock
LAS
VEGAS, Nov. 29, 2023 /PRNewswire/ -- MongoDB,
Inc. (NASDAQ: MDB) today at AWS re:Invent 2023 announced plans to
integrate MongoDB Atlas Vector Search with Amazon Bedrock to enable
organizations to build next-generation applications on Amazon Web
Services (AWS) and their industry-leading cloud infrastructure.
MongoDB Atlas Vector Search uses an organization's operational data
to simplify bringing generative AI and semantic search capabilities
into applications for highly engaging and customized end-user
experiences. 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. To learn more about building AI-powered applications
on MongoDB Atlas, visit
mongodb.com/use-cases/artificial-intelligence.
"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 at MongoDB. "With the integration of MongoDB
Atlas Vector Search with Amazon Bedrock, 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."
Amazon Bedrock is a fully managed service from AWS that offers a
choice of high-performing foundation models (FMs) via a single API,
along with a broad set of capabilities to build generative AI
applications with security and privacy. This new integration with
Amazon Bedrock allows organizations to quickly and easily deploy
generative AI applications on AWS that can act on data processed by
MongoDB Atlas Vector Search and deliver more accurate and relevant
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 benefits of being integrated with a globally
distributed operational database that can store and process all of
an organization's data.
Using the integration with Amazon Bedrock, customers can
privately customize FMs—from AI21 Labs, Amazon, Anthropic, Cohere,
Meta, and Stability AI—with their proprietary data, convert data
into vector embeddings, and process these embeddings using MongoDB
Atlas Vector Search. Leveraging Agents for Amazon Bedrock for
retrieval augmented generation (RAG), customers can then build
applications that respond to user queries with relevant,
contextualized responses—without needing to manually code. For
example, a retail apparel organization can more easily develop a
generative AI application to help employees automate tasks like
processing inventory requests in real time or to help personalize
customer returns and exchanges by suggesting similar styles of
in-stock merchandise. With fully managed capabilities, this new
integration will enable joint AWS and MongoDB customers to securely
use generative AI with their proprietary data to its full extent
throughout an organization and realize business value more
quickly—with less operational overhead.
"In this next wave of widespread AI adoption, organizations want
to strengthen their data strategies to develop differentiating and
competitive generative AI solutions," said Vasi Philomin, Vice President of Generative AI
at AWS. "The MongoDB Atlas Vector Search integration with Amazon
Bedrock 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."
Scalestack AI is an all-in-one data enrichment, prioritization,
and activation platform that allows go-to-market teams to easily
map existing data to their ideal customer profile and power their
sales and revenue engine. "Scalestack's mission is to help
organizations unlock sales productivity, and our relationship with
MongoDB has been integral to that," said Elio Narciso Co-founder
and CEO at Scalestack. "We use MongoDB Atlas Vector Search to store
the data we use in our RAG chatbot, and it provides long-term
memory to the large language models we use. We're really excited
about the integration between MongoDB Atlas Vector Search and
Amazon Bedrock—this fully managed system will let our developers
focus on innovating on behalf of customers. We look forward to
working with both MongoDB and AWS to further the development of
Scalestack's AI-powered RevOps platform."
The integration of MongoDB Atlas Vector Search with Amazon
Bedrock will be available on AWS in the coming months.
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 Cathay Pacific, 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
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certain "forward-looking statements" within the meaning of Section
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Act, and Section 21E of the Securities Exchange Act of 1934, as
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fully described in our filings with the Securities and Exchange
Commission ("SEC"), including under the caption "Risk Factors" in
our Quarterly Report on Form 10-Q for the quarter ended
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and reports that we may file from time to time with the SEC. Except
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MongoDB Public Relations
press@mongodb.com
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SOURCE MongoDB, Inc.