MongoDB Search is the simplest way to build relevance-based search 4x faster and move beyond the performance limits of basic search operators. Try the MongoDB Search Playground Free Advanced search, simplified With MongoDB Search, you work with a single, unified API across both your database and search operations, simplifying your queries and reducing development time by eliminating the need for unscalable manual query logic or basic text operators. Enterprise-grade search Atlas automates provisioning, patching, scaling, and disaster recovery while providing robust security. Gain deep visibility into search operations to identify and resolve performance friction before it impacts your production environment or CPU usage. Superior performance at scale Optimize compute resources to scale search and database needs independently for better performance with up to 60% reduction in query times—even for complex query types. Overcome the single-index limits of basic operators to ensure search remains fast as your dataset and complexity grow. Build search directly in Atlas Manage search for your evolving application needs without the hassle of standing up and managing a sync mechanism, writing custom transformation logic, or remapping search indexes. Native reranking in Atlas Instantly improve retrieval accuracy using Voyage AI's best-in-class reranker models without leaving the MongoDB query engine. With MongoDB native reranking, only the most relevant results reach your LLM, reducing token costs and latency for agentic and multi-step retrieval pipelines. MongoDB Search customer successes Boost your MongoDB Atlas skills Explore MongoDB Atlas fundamentals, from the document model to indexing strategies, to ensure your application's success. Performance at scale Discover how Search Nodes help optimize compute resources to scale search and database needs independently for superior performance. Improved developer experience

Use a single, unified API across database and search operations. Create a search index with a few clicks or a single API call. Transform your enterprise with intelligent search and gen AI Gain a practical perspective on leveraging advanced search and generative AI, and learn how to redefine your strategy for optimal outcomes. What is MongoDB Search? MongoDB Search is an embedded full-text search capability built on Apache Lucene. It provides a scalable, relevance-based experience that eliminates the need for bolt-on search solutions. It also alleviates the performance and indexing limitations of basic search operators, such as $text or $regex. How does MongoDB Search differ from MongoDB Vector Search? MongoDB Search allows for keyword or lexical search (i.e., based on the actual text and any defined synonym mappings), whereas MongoDB Vector Search on Atlas allows searching through data based on semantic meaning captured in vectors. Does using MongoDB Search on Atlas require an Atlas account? Yes, you need an Atlas account to use MongoDB Search on Atlas. We have also created a getting started guide and tutorial with instructions on how to do things like load sample data on your cluster, create a search index, and run a sample query using search tester. Can I try MongoDB Search before creating an account? Yes! The MongoDB Search Playground is a sandbox environment where you can explore the power and versatility of Atlas Search without setting up a full Atlas collection or waiting for your search index to build. The Playground doesn’t require any signup, so you can start testing immediately. Can I run MongoDB Search locally? Yes, if you prefer to test MongoDB Search queries locally, you can use the CLI to deploy a single-node replica set hosted on your local computer. Get started with search today Dedicated search nodes Simplified search pipeline Always-on authentication Fuzzy & partial matching Multi-index flexibility