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Use Case

Intelligent search with MongoDB

Deliver engaging experiences with highly accurate, contextual information, from surfacing relevant products to powering AI agents.

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Smarter search plus AI means happier users

Data retrieval underpins the modern user experience, from delivering search results in applications to providing context for large language models and AI agents. MongoDB's intelligent search capabilities—featuring native text, vector, and hybrid search—make it easy to build highly contextual retrieval that addresses user needs.
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Smarter search plus AI means happier users
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Unlock the full potential of your data

Advanced search, unmatched simplicity

Streamline operations and eliminate bolt-on systems. With robust search capabilities built into MongoDB Atlas, you can combine text search, vector search, geospatial data, and graphs for superior retrieval capabilities, all within a single database.

Advanced search, unmatched simplicity
Scale for any search needs

Scale for any search needs

Independently scale search and database needs for higher availability and better performance, supported by MongoDB’s enterprise-grade security and reliability. 

Learn about MongoDB Search Nodes

High-quality models for superior accuracy

Leverage innovative models for highly accurate, contextual information retrieval, powering sophisticated gen AI and search use cases. 

Learn about Voyage AI
High-quality models for superior accuracy

“What drew us to MongoDB is that it’s a full package. You have a very easy-to-use console—people who are not very technical can work with it, and it abstracts a lot of the operational work. MongoDB Atlas isn’t just a database—it’s a ‘batteries included’ solution.”
Dimitar Terziev
Technical Director for FT Core Platforms, Financial Times
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“What drew us to MongoDB is that it’s a full package. You have a very easy-to-use console—people who are not very technical can work with it, and it abstracts a lot of the operational work. MongoDB Atlas isn’t just a database—it’s a ‘batteries included’ solution.”
Dimitar Terziev
Technical Director for FT Core Platforms, Financial Times
Read the whole story
“We want to make it possible for users of our customers’ knowledge base to receive instant, trustworthy, and accurate answers to their questions using conversational search powered by MongoDB Atlas Vector Search and generative AI capabilities.”
Saravana Kumar
CEO, Kovai
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“We’ve reduced our footprint using MongoDB Atlas Search. The simpler the system is to manage, the faster we can build new solutions.”
Petar Djordjevic
Chief Technology Officer, Element451
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