MongoDB has launched Search and Vector Search features in its Community Edition and Enterprise Server, expanding accessibility for developers creating AI-driven applications in self-managed settings. Previously exclusive to MongoDB Atlas, these capabilities now support on-premises and hybrid deployments, enabling integrated search and semantic retrieval tools within MongoDB clusters.
The update allows developers to experiment with retrieval augmented generation (RAG) systems and AI agents on private infrastructures. MongoDB also unveiled the Application Modernization Platform (AMP), designed to facilitate the transition from legacy systems to modern architectures. This initiative targets technical debt, which costs the US nearly $4 trillion annually due to outdated software.
AMP has shown to improve code transformation processes tenfold and decrease modernization timelines significantly. Real-world examples, such as Australia’s Bendigo Bank and Swiss private bank Lombard Odier, highlight the platform’s effectiveness. MongoDB AMP is now available to assist enterprises in modernizing legacy systems while integrating AI capabilities.
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