Today at MongoDB.local Bengaluru, we announced new capabilities designed to help teams move AI into production with increased accuracy and deployment flexibility. Here’s what shipped:
✅ voyage-context-4
✅ Public Preview: Native Reranking
✅ Search and Vector Search in MongoDB
Voice AI is scaling fast. @ElevenLabs is showing what that looks like.
ElevenLabs has evolved from breakthrough voice models into a platform for interactive, enterprise-ready AI agents.
With MongoDB, the company replaced a more complex architecture with a unified data layer,
10 years. Thousands of customer outcomes. One platform built for what’s next.
As MongoDB Atlas reaches its 10-year milestone, we’re reflecting on the customers behind that journey—the organizations using Atlas to innovate faster, work with complex data, and build resilient,
How did Kaax go from prototype to production in under four months?
Kaax, built on MongoDB Atlas, is helping agricultural teams across Latin America turn drone and satellite imagery into same-day action. Kaax scaled from early validation to enterprise production without rewrites,
A legacy stack wasn’t going to power an AI-native future.
mongodb.social/6011BEai8U founder Samantha McBride shared how the team moved to MongoDB to build a more flexible, secure platform for financial services, making it easier to deploy AI agents without restructuring client
