MongoDB Atlas
Unlock the AI Advantage
MongoDB Atlas securely unifies operational and vector data to streamline building AI-enriched applications.
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The power of generative AI is how you teach it
Large language models (LLMs) are information-rich but lack context to deliver competitive advantage. Retrieval-augmented generation (RAG) bridges this gap. With Vector Search built into MongoDB Atlas, you can store and search operational data alongside vectors, enabling RAG to access the most relevant data and provide accurate insights.
The combined power of Vectors and MongoDB
MongoDB Atlas makes it easy to build performant AI apps by combining vector search with services like text search, stream processing, and more in a single data platform. Our document model allows for flexible, powerful query capabilities. Our robust AI ecosystem lets you leverage any AI service or cloud provider to unlock more value.
Enterprise-ready data platform for building AI apps
Because vector data is stored in Atlas with your operational data, you can build and scale AI apps with the same trusted, enterprise-grade security and availability MongoDB is known for. Leverage our extensive documentation, case studies, and code samples to accelerate AI app development and deployment.
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