Sydney, Australia – MongoDB, a database programme company, has recently announced the acquisition of Voyage AI, a developer of advanced embedding models.
As part of this initiative, the company will integrate Voyage AI’s technology into its platform, enabling organisations to develop reliable AI-driven applications with precise and contextually relevant information retrieval seamlessly embedded within operational data.
This initiative further responds to previous constraints in leveraging AI for mission-critical tasks. With Voyage AI’s cutting-edge embedding and reranking models, applications can now extract valuable insights from intricate, domain-specific text and unstructured data, including legal and financial records, images, code, and enterprise knowledge bases.
Said company’s models are also trusted by leading AI innovators like Anthropic, LangChain, Harvey, and Replit. In fact, Voyage AI’s embedding models are the highest-rated zero-shot models in the Hugging Face community.
MongoDB further shared that by leveraging Voyage AI’s expertise in embedding models and retrieval systems, they will enhance the company’s AI capabilities to address the most demanding challenges in AI application development and scalability.
Dev Ittycheria, CEO at MongoDB, remarked, “AI has the promise to transform every business, but adoption is held back by the risk of hallucinations. 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 organisations build AI applications that deliver more accurate and reliable results at scale, empowering them to confidently apply AI to high-stakes use cases,” added Tengyu.
Voyage AI’s embedding and reranking models will be available on voyage.ai, AWS Marketplace, and Azure Marketplace, with expanded MongoDB integrations to arrive later this year.
