What it is: MongoDB now offers native full-text search and vector search capabilities for use with MongoDB Enterprise Server. This public preview allows developers to build advanced search and AI-driven features like autocomplete, semantic retrieval, and hybrid search in their self-managed environments. With search and vector search capabilities working with Enterprise Server, teams can take the proven search capabilities of MongoDB Atlas and run them on-premises or in private and hybrid clouds. Who it’s for:
 This is for developers, DBAs, and startups who use MongoDB Enterprise Server and want to build and test modern, AI-driven features in their self-managed environments without operational overhead and the synchronization tax of managing a separate search stack. Why it matters:
 By embedding full-text search and vector search capabilities with Enterprise Server, MongoDB simplifies data architecture, reduces costs, and accelerates development cycles. Developers can focus on building modern, innovative applications rather than managing additional infrastructure. Please note: this preview is intended for testing and evaluation only (not production). How to get started: Click the documentation link below for a step-by-step guide on how to get started with search and vector search for use with MongoDB Enterprise Server. You can also read the overview blog for more information.