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MongoDB.local NYC 2025: Definiendo la base de datos ideal para la era de la IA
MongoDBDev Ittycheria, President and CEO, MongoDB
Summary
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.
Context
Organizations face high costs and architectural constraints when maintaining legacy relational systems that cannot handle the scale, flexibility, and contextual memory demands of AI workloads.
Approach / What changed
MongoDB released MongoDB 8.2, introduced public previews of search and vector search across Community Edition and Enterprise Server, integrated Voyage AI embedding and reranking models, and launched the Application Modernization Platform to automate legacy code migration.
Takeaways
- Search and vector search capabilities are now available in public preview for both MongoDB Community Edition and MongoDB Enterprise Server.
- The Application Modernization Platform accelerates database migrations from legacy systems by two to three times and speeds up code rewriting by an order of magnitude.
- Voyage AI embedding and reranking models are utilized to improve retrieval accuracy across raw data, metadata, and vector embeddings.
Related reading
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MongoDB.local NYC 2025: Definindo o Banco de Dados Ideal para a Era da IA
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.
Dev Ittycheria, President and CEO, MongoDBMongoDB ·