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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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Intelligent search MongoDB
Smarter search, smarter gen AI, 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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Unlock the full potential of your data

Advanced search, unmatched simplicity

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.
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 Atlas Search Nodes
High-quality models for superior accuracy

High-quality models for superior accuracy

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

Transform user experiences with intelligent search

Robust retrieval capabilities built into the database power modern applications.
atlas_full_text_search

Full-text search

Simplify development and deliver relevance-based search 4x faster and for 77% lower cost than alternative solutions.

mdb_vector_search

Vector search

Build semantic search and generative AI applications with native vector database capabilities. Store, index, and search vector embeddings for any type of data.

atlas_search

Hybrid search

Supercharge search applications and enrich context for large language models with greater precision and semantic understanding, all within one single database.

industry_ai

Embedding and reranking models

Enhance accuracy with Voyage AI's state-of-the-art models, or bring your own models from other popular providers.


“Swisscom’s e.foresight has over 3,500 documents about trends in the banking industry in its library, with more being added each day. MongoDB Atlas enables us to store and search all that information and create something relevant to a specific request.”
Dr. Martin Lorenz
Product Manager, Banking Front Solutions, Swisscom
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
“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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Get unique insights on how to unlock more value with intelligent search.
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Illustration of AI Industry
How Generative AI is Shaping The Future of Search
See how you can define and future-proof your search strategy in the age of generative AI.
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Build smarter apps with intelligent search

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