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MongoDB.local NYC 2025: Definindo o Banco de Dados Ideal para a Era da IA
MongoDBDev Ittycheria, President and CEO, MongoDB
Summary
At MongoDB.local NYC, new product capabilities were unveiled to support modern enterprise workloads and artificial intelligence applications. The release of MongoDB 8.2 delivers improved performance alongside embedding and reranking models from Voyage AI for AI application development. Additionally, search and vector search capabilities have entered public preview for both MongoDB Community Edition and Enterprise Server across customer runtime environments. To address the high operational costs of legacy database systems, MongoDB introduced the Application Modernization Platform to accelerate migration and automated code rewriting using AI-driven tooling. These capabilities position the JSON-based document database as a foundational data layer providing persistent state, contextual retrieval, and memory for agentic AI systems.
Context
Enterprises face substantial operational costs and technical constraints from legacy relational database systems that were not architected to scale with modern application complexity and artificial intelligence demands.
Approach / What changed
MongoDB introduced MongoDB 8.2, integrated Voyage AI embedding and reranking models, made search and vector search available in public preview for Community Edition and Enterprise Server, and launched the AI-assisted MongoDB Application Modernization Platform.
Takeaways
- Search and vector search features are available in public preview for both MongoDB Community Edition and Enterprise Server.
- The MongoDB Application Modernization Platform combines AI tools with specialized talent to execute legacy migrations two to three times faster and accelerate code rewriting tenfold.
- MongoDB 8.2 integrates Voyage AI embedding and reranking models to supply context, memory, and state for agentic AI workloads.
Related reading
MongoDB ·
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 ·