# MongoDB.local NYC 2025 : définir la base de données idéale à l'ère de l'IA

[MongoDB](https://yomu.fyi/company/mongodb) · Dev Ittycheria, President and CEO, MongoDB · Sep 18, 2025

**Type:** Announcement

## Summary

At the MongoDB.local NYC 2025 event, MongoDB unveiled several platform updates aimed at modernizing enterprise database architectures and supporting emerging agentic artificial intelligence workloads. The newly released MongoDB 8.2 version provides enhanced performance alongside expanded developer features across the broader document database ecosystem. The company also integrated Voyage AI embedding and reranking models to improve context retrieval precision and efficiency when building production-grade AI systems. Furthermore, dedicated Search and Vector Search capabilities have reached general availability across both MongoDB Community Edition and Enterprise Server environments. To streamline infrastructure transitions, the newly introduced Application Modernization Platform leverages AI-powered tooling and specialized techniques to migrate legacy database systems two to three times faster.

## Context

Organizations face substantial financial and operational burdens maintaining legacy relational systems that lack the flexibility, scalability, and memory capabilities required to meet the demands of modern artificial intelligence applications.

## Approach / What changed

MongoDB released MongoDB 8.2, integrated Voyage AI embedding and reranking models, released Search and Vector Search on Community Edition and Enterprise Server, and launched the Application Modernization Platform (AMP) to streamline legacy system migrations.

## Takeaways

- Search and Vector Search capabilities are now generally available on MongoDB Community Edition and Enterprise Server.
- Voyage AI embedding and reranking models were introduced to enhance precision and efficiency in generative and agentic AI retrieval.
- The Application Modernization Platform (AMP) combines AI-powered tools and specialized methods to migrate legacy architectures two to three times faster.

**Tags:** [Architecture](https://yomu.fyi/topic/architecture), [LLMs](https://yomu.fyi/topic/llm), [Migrations](https://yomu.fyi/topic/migration), [Scalability](https://yomu.fyi/topic/scalability), [Search](https://yomu.fyi/topic/search)

[Read original post](https://www.mongodb.com/company/blog/events/local-nyc-2025-defining-ideal-database-for-ai-era-fr)