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MongoDB Acquires Voyage AI to Power Trusted AI Apps

MongoDB

MongoDB to integrate Voyage AI’s industry-leading embedding and reranking models, delivering highly accurate and relevant information retrieval to power sophisticated AI use cases

MongoDB, Inc., the leading database for modern applications, announced the acquisition of Voyage AI, a pioneer in advanced embedding and reranking models designed to power next-generation AI applications. By integrating Voyage AI’s technology, MongoDB aims to provide organizations with an intuitive way to build AI-driven applications that deliver highly accurate and relevant information retrieval, deeply connected with operational data.

AI-powered applications offer solutions for a wide range of complex challenges that traditional software cannot address. However, the probabilistic nature of AI models introduces the risk of “hallucinations,” where models generate false or misleading information. Such inaccuracies can pose significant risks in critical areas like medical diagnostics, autonomous financial decision-making, and legal advisory services. As a result, concerns over AI-generated inaccuracies have hindered the adoption of AI applications in high-stakes environments. These hallucinations often stem from an AI model’s limited understanding or insufficient contextual awareness of enterprise data.

To overcome this limitation, businesses require high-quality retrieval mechanisms that ensure precise extraction of relevant data. Voyage AI’s state-of-the-art embedding and reranking models enable applications to interpret meaning from specialized, domain-specific, and unstructured data—spanning legal and financial documents, images, code, and enterprise knowledge bases. Recognized by industry leaders such as Anthropic, LangChain, Harvey, and Replit, Voyage AI’s embedding models rank as the highest-rated zero-shot models in the Hugging Face community. The company’s expertise in AI-powered search and retrieval is driven by a team of distinguished AI researchers with backgrounds from Stanford, MIT, UC Berkeley, and Princeton. Their deep knowledge of embedding models and retrieval architectures will enhance MongoDB’s AI capabilities, addressing the complexities of developing and scaling AI applications.

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“AI has the promise to transform every business, but adoption is held back by the risk of hallucinations,” said 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.”

“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,” said Tengyu Ma, Founder of Voyage AI. “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.”

With this acquisition, MongoDB strengthens its position as a leader in AI-driven data management, empowering businesses to harness the full potential of AI while ensuring reliability, accuracy, and scalability.

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