To unify operational and vector data
To connect with major models, frameworks, and partners
To build on any cloud without risk of lock-in
MongoDB's support for AI innovation and startups is open to a wide range of business sizes and models through different tracks.
MAAP provides organizations an integrated end-to-end technology stack to rapidly build and deploy applications enriched with generative AI technology.
MongoDB is a founding member of the U.S. Artificial Intelligence Safety Institute Consortium (AISIC), which works to create safe and trustworthy AI.
“Using MongoDB, I built a semantic search engine to democratize observability data, allowing non-technical experts to make custom natural language queries for quickly extracting new insights from log files.”
“MongoDB Vector Search revolutionized how I query data, allowing for searches based on similarity, which greatly enhanced my applications.”
“The efficiency of storing vector embeddings directly next to the source data in MongoDB both simplifies the data architecture and speeds up development and querying.”
“I’ve used MongoDB in various AI projects, especially those focused on natural language processing and recommendation systems. Its flexibility was ideal for handling large volumes of unstructured data.“
“At Pursuit, we make it easy to work with governments, using AI to streamline the entire contract lifecycle. We've integrated MongoDB into our products. It's been super helpful to allow us to create minimum viable products (MVPs) and prototype new ideas.”