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MongoDB.local NYC 2025: Defining the Ideal Database for the AI Era
MongoDBDev Ittycheria, President and CEO, MongoDB
Summary
At MongoDB.local NYC, MongoDB introduced new database capabilities, AI integrations, and modernization tools designed for agentic and generative AI workloads. The release of MongoDB 8.2 arrives alongside public previews of Search and Vector Search for both MongoDB Community Edition and Enterprise Server. MongoDB also highlighted Voyage AI embedding models and rerankers to improve retrieval accuracy across raw data, metadata, and embeddings. To address the costs and constraints of legacy infrastructure, the new MongoDB Application Modernization Platform combines AI-assisted tooling and specialized expertise to migrate legacy systems. According to MongoDB, early migrations using this platform run two to three times faster, while code rewriting tasks accelerate by an order of magnitude.
Context
Enterprises are burdened by the high costs of legacy relational database systems that were not built for modern scale or the memory, context, and state requirements of agentic AI applications.
Approach / What changed
MongoDB launched MongoDB 8.2, made Search and Vector Search available in public preview for Community Edition and Enterprise Server, integrated Voyage AI embedding models and rerankers, and introduced the MongoDB Application Modernization Platform (AMP).
Takeaways
- Search and Vector Search are now available in public preview for both MongoDB Community Edition and Enterprise Server.
- The MongoDB Application Modernization Platform (AMP) accelerates enterprise migrations from legacy systems by two to three times and speeds up code rewriting by an order of magnitude.
- MongoDB emphasizes Voyage AI embedding models and rerankers to improve retrieval accuracy across raw data, metadata, and embeddings for AI applications.
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MongoDB.local NYC 2025: Definiendo la base de datos ideal para la era de la IA
At MongoDB.local NYC 2025, MongoDB introduced new capabilities and product updates tailored for artificial intelligence workloads. MongoDB 8.2 was unveiled alongside public previews of full-text and vector search for both MongoDB Community Edition and Enterprise Server. The company also detailed its integration with Voyage AI embedding and reranking models to deliver precision retrieval across raw data, metadata, and vectors. To address legacy infrastructure migration hurdles, MongoDB launched the Application Modernization Platform, which combines AI-assisted tooling and specialized workflows to accelerate legacy application refactoring two to three times faster. These architectural updates aim to position the JSON document model as the persistent memory and context store required by autonomous, agentic AI workflows.
Dev Ittycheria, President and CEO, MongoDBMongoDB ·