MongoDB, Inc. (NASDAQ: MDB), a leading database provider for modern applications, announced today the acquisition of Voyage AI, a pioneer in advanced embedding and reranking models. This strategic move will enable organizations to develop more trustworthy and accurate AI-powered applications by seamlessly integrating Voyage AI’s technology with MongoDB’s robust operational data platform.
AI-powered applications offer the potential to revolutionize various industries. However, their effectiveness is often limited by the possibility of ‘hallucinations,’ where AI models generate inaccurate or misleading outputs. These inaccuracies can arise from insufficient context within the data, posing significant risks in critical applications such as cancer screenings, financial investment decisions, and legal advice. Accurate information retrieval is therefore vital for mission-critical AI applications.
Voyage AI addresses this challenge with its state-of-the-art embedding and reranking models. These models excel at extracting meaning from specialized and unstructured data, including legal and financial documents, images, code, and enterprise knowledge bases. Voyage AI’s technology has already gained the trust of leading AI innovators such as Anthropic, LangChain, Harvey, and Replit. Furthermore, Voyage AI’s embedding models are highly regarded, holding the top rating for zero-shot models in the Hugging Face community.
Voyage AI’s team is comprised of world-class AI researchers with backgrounds at prestigious institutions like Stanford, MIT, UC Berkeley, and Princeton. Their expertise in cutting-edge embedding models and retrieval architectures will be instrumental in enhancing MongoDB’s AI capabilities. This combination will help solve complex challenges in building and scaling AI applications.
“AI has the potential to transform every business, but adoption is held back by the risk of hallucinations,” stated Dev Ittycheria, CEO of MongoDB. “By bringing the power of advanced AI-powered search and retrieval to our highly flexible database, the combination of MongoDB and Voyage AI enables enterprises to easily build trustworthy AI-powered applications that drive meaningful business impact. With this acquisition, MongoDB is redefining what’s required of the database for the AI era.”
Tengyu Ma, Founder of Voyage AI, added, “For AI applications to reach their full potential, businesses must trust their outputs, so retrieval needs to be deeply integrated with operational data to be accurate and relevant. Joining MongoDB enables us to bring our cutting-edge AI retrieval technology to a broader audience and integrate it seamlessly into mission-critical applications. By combining our expertise in embeddings and reranking with MongoDB’s best-in-class database, we can help organizations build AI applications that deliver more accurate and reliable results at scale, empowering them to confidently apply AI to high-stakes use cases.”
Voyage AI’s embedding and reranking models will continue to be available through voyage.ai and the AWS and Azure Marketplaces. Further integrations with MongoDB are planned for later this year.
About MongoDB
Headquartered in New York, MongoDB’s mission is to empower innovators to create, transform, and disrupt industries with software and data. MongoDB offers a unified, intelligent data platform designed for the next generation of applications. It is the most widely available and globally distributed database on the market, providing integrated capabilities for operational data, search, real-time analytics, and AI-powered retrieval. MongoDB serves millions of developers and over 50,000 customers across various industries, including 70% of the Fortune 100. Visit mongodb.com for more information.
Forward-Looking Statements
This press release contains forward-looking statements regarding MongoDB’s acquisition of Voyage AI. These statements include, but are not limited to, plans, objectives, expectations, and intentions that are not historical facts. Actual results may differ materially due to various risks and uncertainties, including those described in MongoDB’s SEC filings.
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