MongoDB has announced the general availability of MongoDB Atlas Vector Search and MongoDB Atlas Search Nodes, to make it faster and easier for organizations to securely build, deploy, and scale next-generation applications at less cost.
MongoDB Atlas Vector Search simplifies bringing generative AI and semantic search capabilities into real-time applications for highly engaging and customized end-user experiences using an organization’s operational data. MongoDB Atlas Search Nodes provide dedicated infrastructure for applications that use generative AI and relevance-based search to scale workloads independent of the database and manage high-throughput use cases with greater flexibility, performance, and efficiency.
With MongoDB Atlas Search Nodes, customers can improve performance by reducing query times by up to 60 percent to provide end users optimized AI-powered and relevance-based search experiences using their operational data with a single API, all with less complexity.
MongoDB Atlas Vector Search is generally available today on AWS, Google Cloud, and Microsoft Azure. MongoDB Atlas Search Nodes are generally available today on AWS, with availability on Google Cloud and Microsoft Azure coming soon.
Sahir Azam, Chief Product Officer, MongoDB
Customers of all sizes from startups to large enterprises around the world tell us they want to take advantage of generative AI and relevance-based search to build next-generation applications that reimagine how businesses find ways to deeply personalize engagement with their customers, drive increased efficiency through automation, and propel new product development. But these customers know that complexity is the enemy of speed, and the choice of a database is fundamental to ensuring not just the success of an application but also how fast it can be built, deployed, and continually updated with the flexibility and scale needed to meet shifting end-user demands. With the general availability of MongoDB Atlas Vector Search and MongoDB Atlas Search Nodes, we’re making it even easier for customers to use a unified, fully managed developer data platform to seamlessly build, deploy, and scale modern applications and provide end users with the types of personalized, AI-powered experiences that save them time and keep them engaged.
Matthew Schneid, Chief Architect, AT&T Cybersecurity
AT&T AlienVault is the world's most trusted and widely used open source Security Information and Event Management (SIEM) platform, and the ability to find relevant information with low latency is critical in the world of cybersecurity, threat detection, and incident response management. A delay could mean the difference between a successful detection and response, or a breach causing unfathomable destruction. We are very excited to continue our usage of Atlas Search Nodes as it becomes generally available. It has helped us host larger search deployments and scale our workloads, while significantly boosting the performance of complex search queries. Further, the platform as a whole, and the approach MongoDB has taken to build the feature in a way that engineers enjoy working with it regularly, is a huge plus.
