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AI isn’t forcing change. It is the change.

Move past the promise and rethink what’s possible.

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Why the best AI apps are built on MongoDB

MongoDB has all the flexibility, performance, and security developers need to create transformative AI-powered experiences for a new generation of modern applications.
“If you’re building an early-stage company that is going to scale very rapidly, you need a database solution that isn’t going to break under the load of a huge volume of users. You need a fast-moving team with a reliable solution, and there really is one option in this space—and it’s MongoDB.”
Eno Reyes
Co-founder and CTO, Factory
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“If you’re building an early-stage company that is going to scale very rapidly, you need a database solution that isn’t going to break under the load of a huge volume of users. You need a fast-moving team with a reliable solution, and there really is one option in this space—and it’s MongoDB.”
Eno Reyes
Co-founder and CTO, Factory
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“Today, companies need to move extremely fast, and at very lean startups, you need to only focus on what you are building. MongoDB allows Tavily to focus on what matters most, our customers and our business.”
Rotem Weiss
CEO, Tavily
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“By leveraging Atlas Vector Search, our AI copilot can understand the context of user queries more effectively, drawing upon a rich database of indexed information. This leads to more accurate and contextually relevant responses, a key factor in providing an engaging and helpful user experience.”
Alex Prioni
Co-founder, Scalestack
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“As we went through explosive growth, we needed to come up with a strategy that enabled us to keep pace with our growth while maintaining pace of feature development. That's why we chose to go to MongoDB Atlas.”
Joe Croney
Vice President of Technology and Product Development, Arc XP
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MongoDB is built for modern AI use cases

Semantic Search

Uncover the meaning and intent behind a query in order to provide accurate and context-aware search results.

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Retrieval Augmented Generation (RAG)

RAG pairs information retrieval with text generation to combine relevant, proprietary knowledge with broad, generalized knowledge from LLMs, producing trustworthy responses.

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Agentic AI

Agents extend LLMs, making them aware of their environments and equipped with capabilities such as tool calling, reasoning, and the ability to store both short- and long-term memory.

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Expanding possibilities with partnerships and AI solutions

Start building AI applications with MongoDB

With an operational database built for AI use cases and dedicated expert support to quickly go from prototype to production, the possibilities are limitless.
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  • LLM and AI framework integrations
  • Comprehensive reference architectures
  • 125+ regions across clouds
  • Expert support and tailored solutions
  • On-demand AI training